We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

About the role

Join us as an Engineering Lead in Sky’s Content Platform, building and operating the systems that power content delivery at scale. From video ingest and encoding to metadata and distribution, you’ll work on high-impact services used by millions of customers while setting technical direction, raising engineering standards, and delivering reliable, scalable services in a fast-moving, cloud-native environment.

Please note - this is a hybrid role with an on-call rotation twice a month.

What you’ll do

Build and operate cloud-native services on AWS using microservices and event-driven architecture Deliver independently deployable features with a strong focus on quality, reliability, and performance Contribute to code, reviews, and team discussions to maintain high engineering standards Own services end to end, including deployment, monitoring, and production support, with out-of-hours participation where required Develop and improve CI/CD pipelines, automated testing, and infrastructure as code Work on systems supporting video ingest, encoding, metadata, and content distribution workflows Use observability and metrics to identify issues and improve system performance Collaborate with engineers, analysts, and QA to deliver high-quality solutions What you’ll bring

Strong backend engineering experience with Python preferred, and the ability to work across or pick up other languages such as Java or C# Strong understanding of distributed systems and event-driven architectures, with experience in video, encoding, or broadcast workflows Hands-on experience building and operating services on AWS Strong experience designing and delivering APIs and microservices Experience with CI/CD pipelines, automated testing, and production support Ability to debug and resolve issues in production environments A pragmatic mindset with the ability to deliver value while maintaining quality Strong communication skills and the ability to work effectively in a team Team overview

Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses, and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content.

The rewards

There’s a reason people can’t stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:

Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space:

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There’s also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon.

We’d love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Join a fast-growing, independent investment boutique specialising in liquid alternatives, now 1 year into its journey.

This is a front-office aligned role, working closely with the PM and offering direct exposure to investment decisions, fund activity, and strategy development from day one.

The Role

A broad, hands on position supporting both the day-to-day running of the fund and ongoing systems / infrastructure build-out. You’ll combine quantitative thinking with practical execution, gaining real investment exposure early.

• Support fund operations (valuations, fees, processes)
• Improve and automate workflows (systems / IT focus)
• Work with internal & external stakeholders
• Support the PM across structured products & cross-asset strategies
• Contribute analytically (non-heavy modelling)

Your Background

• 0-2 years’ experience
• Finance experience preferred, but open to quantitative / technical backgrounds
• Strong maths / statistics foundation
• Highly organised, logical thinker
• Strong communication skills
• Technical skills (Python / data / systems) beneficial

What They’re Looking For

• Practical, hands on mindset (not purely theoretical)
• Curious and motivated to learn
• Comfortable across ops, tech, and investments
• Interested in building a long term career in asset management

Why Join

• Work directly with an experienced PM (cross-asset / quant)
• Join a fund early in its growth phase
• Exposure across investment, operations, and technology
• Clear path toward a broader investment / PM role

Compensation

£50k - £80k base

Ideal for a numerate, driven junior looking for real responsibility and exposure within a growing fund.

Job Title: Data Engineer (SQL, Python) This role offers the opportunity to work with very large, complex data sets to influence product decisions for digital products used by hundreds of millions of people every day. You will contribute directly to user growth, retention and experience by building and maintaining robust data warehouse solutions, data models and pipelines. You will join a high-calibre data engineering team solving challenging web and mobile data problems at a scale that few organisations can match, with a strong focus on adoption and buyer personalisation. Responsibilities Maintain and support existing ETL pipelines and data processes running in production, ensuring stability and reliability. Work with very large-scale data sets, applying appropriate SQL techniques and performance optimisation strategies. Manage data warehouse plans and roadmaps for a product or group of products, ensuring alignment with business priorities. Interface regularly with engineers, product managers and product analysts to understand data needs and translate them into technical solutions. Build deep data expertise in your areas of ownership and take responsibility for data quality across those domains. Design, build and launch new production-grade data models that support analytics, reporting and personalisation use cases. Design, build and launch new data extraction, transformation and loading (ETL) processes in production environments. Rewrite and refactor data pipelines when upstream tables, schemas or privacy rules change, updating SQL and Python code accordingly. Implement changes to data visualisation dashboards, including wholesale reimplementation to meet new visualisation standards and guidelines. Contribute to task-focused delivery, taking ownership of tightly scoped backlog items and driving them to completion within agreed timelines. Use data analysis to identify deliverables, gaps and inconsistencies, and propose solutions to improve data coverage and quality. Communicate data-driven insights and technical considerations clearly and effectively to both technical and non-technical audiences.Essential Skills At least 5 years’ experience with programming languages, with strong hands-on experience in Python. At least 5 years’ experience writing efficient, optimised SQL statements for large and complex data sets. Hands-on experience with schema design and dimensional data modelling. Strong ability to analyse data to identify deliverables, gaps and inconsistencies. Ability to understand and work with Python language constructs, including constraints, conditional statements and code structure, in order to read, debug and rewrite existing code. Proficiency in building and maintaining ETL pipelines using tools or frameworks similar to Airflow (for example, internal orchestration tools with comparable concepts). experience working with large-scale data sets and applying SQL techniques suitable for high-volume environments. experience with data visualisation and dashboard development, ideally using Tableau. Excellent communication skills, including the ability to explain data-driven insights and technical topics clearly to stakeholders.Additional Skills & Qualifications Familiarity with industry-standard data pipeline orchestration tools such as Airflow or similar frameworks. experience working with cross-functional teams including product management, analytics and marketing. Strong problem-solving skills and the ability to work independently on task-focused backlog items. Attention to detail when implementing changes to dashboards, visualisation standards and reporting guidelines.Why Work Here? You will work on cutting-edge data technologies and large-scale systems that operate at a level of complexity and volume matched by few organisations. The environment encourages collaboration with some of the brightest minds in data engineering, product and analytics, offering continuous learning and exposure to modern tools and practices. Work Environment You will work in a modern, technology-driven environment focused on large-scale web and mobile data. The team uses SQL, Python and advanced data warehousing technologies to process and analyse massive data sets. Location London, UK Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield

DevOps Engineer – West London (Hybrid) – Windows, Build, C++, CI/CD Job Summary Our client is seeking a Senior DevOps Engineer to join their development team, working closely with project and client teams to support build and testing infrastructure. Their projects primarily use C++, cmake/qmake, and Qt across multiple platforms, including Android and iOS. Key activities include: + Maintaining and improving build systems (Git/Gerrit, Jenkins, Incredibuild) + Setting up and managing build/test servers using Ansible and Docker + Enhancing automation, scalability, and resilience of infrastructure + Developing monitoring and reporting for build performance and quality + Supporting code signing tools and deployment accounts + Assisting with GitLab integrations and issue tracker syncing The role also involves building internal tools and automation to streamline processes, such as dashboards for code metrics and resource tracking, reporting tools for project insights, and systems for managing licenses and onboarding/offboarding. Skills/Requirement + 3+ years’ experience in DevOps or software engineering (Python, Java, Ansible) + Experience with Windows-based build environments + Familiarity with CI/CD tools (e.g., Jenkins) + Knowledge of one or more: C++, JavaScript + Proven ability to work collaboratively within a team Location: West London (3 days onsite) Salary: Up to £65k Visa sponsorship: Unfortunately not available If you have the right experience, please apply below

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

About the role

Join us as an Engineering Lead in Sky’s Content Platform, building and operating the systems that power content delivery at scale. From video ingest and encoding to metadata and distribution, you’ll work on high-impact services used by millions of customers while setting technical direction, raising engineering standards, and delivering reliable, scalable services in a fast-moving, cloud-native environment.

Please note - this is a hybrid role with an on-call rotation twice a month.

What you’ll do

Build and operate cloud-native services on AWS using microservices and event-driven architecture Deliver independently deployable features with a strong focus on quality, reliability, and performance Contribute to code, reviews, and team discussions to maintain high engineering standards Own services end to end, including deployment, monitoring, and production support, with out-of-hours participation where required Develop and improve CI/CD pipelines, automated testing, and infrastructure as code Work on systems supporting video ingest, encoding, metadata, and content distribution workflows Use observability and metrics to identify issues and improve system performance Collaborate with engineers, analysts, and QA to deliver high-quality solutions What you’ll bring

Strong backend engineering experience with Python preferred, and the ability to work across or pick up other languages such as Java or C# Strong understanding of distributed systems and event-driven architectures, with experience in video, encoding, or broadcast workflows Hands-on experience building and operating services on AWS Strong experience designing and delivering APIs and microservices Experience with CI/CD pipelines, automated testing, and production support Ability to debug and resolve issues in production environments A pragmatic mindset with the ability to deliver value while maintaining quality Strong communication skills and the ability to work effectively in a team Team overview

Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses, and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content.

The rewards

There’s a reason people can’t stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:

Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space:

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There’s also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon.

We’d love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

About the role

Join us as an Engineering Lead in Sky’s Content Platform, building and operating the systems that power content delivery at scale. From video ingest and encoding to metadata and distribution, you’ll work on high-impact services used by millions of customers while setting technical direction, raising engineering standards, and delivering reliable, scalable services in a fast-moving, cloud-native environment.

Please note - this is a hybrid role with an on-call rotation twice a month.

What you’ll do

Build and operate cloud-native services on AWS using microservices and event-driven architecture Deliver independently deployable features with a strong focus on quality, reliability, and performance Contribute to code, reviews, and team discussions to maintain high engineering standards Own services end to end, including deployment, monitoring, and production support, with out-of-hours participation where required Develop and improve CI/CD pipelines, automated testing, and infrastructure as code Work on systems supporting video ingest, encoding, metadata, and content distribution workflows Use observability and metrics to identify issues and improve system performance Collaborate with engineers, analysts, and QA to deliver high-quality solutions What you’ll bring

Strong backend engineering experience with Python preferred, and the ability to work across or pick up other languages such as Java or C# Strong understanding of distributed systems and event-driven architectures, with experience in video, encoding, or broadcast workflows Hands-on experience building and operating services on AWS Strong experience designing and delivering APIs and microservices Experience with CI/CD pipelines, automated testing, and production support Ability to debug and resolve issues in production environments A pragmatic mindset with the ability to deliver value while maintaining quality Strong communication skills and the ability to work effectively in a team Team overview

Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses, and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content.

The rewards

There’s a reason people can’t stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:

Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space:

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There’s also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon.

We’d love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

About the role

Join us as an Engineering Lead in Sky’s Content Platform, building and operating the systems that power content delivery at scale. From video ingest and encoding to metadata and distribution, you’ll work on high-impact services used by millions of customers while setting technical direction, raising engineering standards, and delivering reliable, scalable services in a fast-moving, cloud-native environment.

Please note - this is a hybrid role with an on-call rotation twice a month.

What you’ll do

Build and operate cloud-native services on AWS using microservices and event-driven architecture Deliver independently deployable features with a strong focus on quality, reliability, and performance Contribute to code, reviews, and team discussions to maintain high engineering standards Own services end to end, including deployment, monitoring, and production support, with out-of-hours participation where required Develop and improve CI/CD pipelines, automated testing, and infrastructure as code Work on systems supporting video ingest, encoding, metadata, and content distribution workflows Use observability and metrics to identify issues and improve system performance Collaborate with engineers, analysts, and QA to deliver high-quality solutions What you’ll bring

Strong backend engineering experience with Python preferred, and the ability to work across or pick up other languages such as Java or C# Strong understanding of distributed systems and event-driven architectures, with experience in video, encoding, or broadcast workflows Hands-on experience building and operating services on AWS Strong experience designing and delivering APIs and microservices Experience with CI/CD pipelines, automated testing, and production support Ability to debug and resolve issues in production environments A pragmatic mindset with the ability to deliver value while maintaining quality Strong communication skills and the ability to work effectively in a team Team overview

Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses, and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content.

The rewards

There’s a reason people can’t stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:

Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space:

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There’s also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon.

We’d love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

About the role

Join us as an Engineering Lead in Sky’s Content Platform, building and operating the systems that power content delivery at scale. From video ingest and encoding to metadata and distribution, you’ll work on high-impact services used by millions of customers while setting technical direction, raising engineering standards, and delivering reliable, scalable services in a fast-moving, cloud-native environment.

Please note - this is a hybrid role with an on-call rotation twice a month.

What you’ll do

Build and operate cloud-native services on AWS using microservices and event-driven architecture Deliver independently deployable features with a strong focus on quality, reliability, and performance Contribute to code, reviews, and team discussions to maintain high engineering standards Own services end to end, including deployment, monitoring, and production support, with out-of-hours participation where required Develop and improve CI/CD pipelines, automated testing, and infrastructure as code Work on systems supporting video ingest, encoding, metadata, and content distribution workflows Use observability and metrics to identify issues and improve system performance Collaborate with engineers, analysts, and QA to deliver high-quality solutions What you’ll bring

Strong backend engineering experience with Python preferred, and the ability to work across or pick up other languages such as Java or C# Strong understanding of distributed systems and event-driven architectures, with experience in video, encoding, or broadcast workflows Hands-on experience building and operating services on AWS Strong experience designing and delivering APIs and microservices Experience with CI/CD pipelines, automated testing, and production support Ability to debug and resolve issues in production environments A pragmatic mindset with the ability to deliver value while maintaining quality Strong communication skills and the ability to work effectively in a team Team overview

Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses, and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content.

The rewards

There’s a reason people can’t stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:

Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space:

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There’s also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon.

We’d love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer at JPMorgan Chase within the AI/ML Data Platforms business, youare an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will be responsible for delivering critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. In this context, your primary clients will be AI Research (AIR) and the Machine learning Centre of Excellence (MLCoE)

Job responsibilities

• Works closely with Data Scientists and AI Researchers to advance experiments into more robust, scalable, highly optimized production grade apps.
• Develops and writes software applications for AI/ML platforms as well as building Generative AI based applications including Agents.
• Utilizes creative problem solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges.
• Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems.
• Delivering using CI/CD to public and private cloud platforms, as well as familiarity with experimentation environments (e.g. Jupyter Notebooks)
• Acting senior engineer within the team mentor and drive practice across junior engineers in the team, as well as researchers / data scientists as they prototype solutions
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts with applied Full stack development experience.
• Practical experience in Infrastructure as Code development, ideally using Terraform.
• Hands on practical experience in application development, testing, and ensuring operational stability.
• Advanced proficiency in one or more programming languages, with a strong focus on Python.
• Expertise in automation and continuous integration, delivery, and testing (CI/CD/CT) methods.
• Comprehensive understanding of the Software Development Life Cycle (SDLC) and Model Development Life Cycle (MDLC).
• Deep understanding of agile methodologies and basic proficiency in architectural frameworks.
• Demonstrated proficiency in platform development and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, etc.).

Preferred qualifications, capabilities, and skills

• Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks.
• Self motivated and proactive, with a strong ability to identify issues and challenge the status quo.
• Demonstrates initiative in learning and adapting to new technologies and methodologies.
• Experience in / exposure to a major business facing integrated application environment (e.g. risk, trading) and working with business facing developers
• Proven problem solving skills with a focus on innovation and continuous improvement.
• Excellent communication and collaboration skills to work effectively within cross functional teams.

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.

We partner with PwC to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.

PwC is a hugely diverse business, bound by our global purpose - to build trust in society and solve important problems. Our greatest opportunity to deliver our purpose is through meaningful work that makes a difference to our clients and society. We have a culture of high performance built on exceptional quality, ethical and professional standards. We lead by example. Our standards for quality - and care - are high. And together we surpass them. We believe we can make the biggest impact when leading with our purpose, values and PwC Professional behaviours in every interaction.

On behalf of PwC, we are looking for a Financial Data Architecture Lead for a 6 Month contract based in London.

Join us as a Financial Data Architecture Lead:

We are seeking a senior Financial Data Architecture Lead to design and lead the development of the Finance data foundation across Insurance Finance, Risk, Treasury, Tax and Actuarial domains. This role is not focused on building core platforms or infrastructure; instead, it centres on designing data models, structures, and flows grounded in real business and actuarial use cases, with a deep understanding of how data resolution, granularity and quality impact financial and actuarial models.

You will work closely with a centrally provided technology platform (Azure, Databricks) and act as the design authority for Finance data, analytics, and reconciliation frameworks. Python capability is essential, including building and deploying financial and analytical models.

What you’ll do:

• Define and lead the end-to-end Finance Data architecture across Finance, Risk, Treasury, Tax, and Actuarial.
• Design robust finance and actuarial data models that align with business use cases, regulatory needs, and analytical requirements.
• Establish data foundations for new and evolving data sources, considering data resolution, lineage, controls, and downstream model impact.
• Define data flows supporting statutory, regulatory, and internal reporting.
• Partner closely with Finance and Actuarial stakeholders to understand how data feeds financial and actuarial models.
• Assess and resolve data issues impacting model accuracy, reconciliation, and comparability across reporting bases.
• Provide thought leadership on data structures that enable scalable analytics and advanced modelling.
• Lead and oversee the deployment of Python-based data and financial models on central data platforms.
• Develop and review Python pipelines supporting analytics, modelling, and reporting use cases.
• Support reporting and analytics capabilities, including BI and advanced analytical layers.

Key Accountabilities, Skills & Experience:

• Proven experience as a Finance Data Architect, Senior Data Architect, or Finance Data Modeller in insurance or financial services.
• Deep understanding of insurance finance and actuarial data, including large-scale transformation programmes.
• Experience working with central/platform technology teams rather than owning infrastructure delivery.
• Strong Python development skills for data analysis, financial modelling, and pipeline development.
• Experience deploying Python models within modern data platforms (eg Databricks).
• Strong understanding of data modelling concepts (conceptual, logical, physical) within Finance and Risk domains.
• Experience supporting reporting, analytics, and BI use cases built on Finance data foundations.
• Understanding of regulatory and statutory reporting data requirements.

Next Steps:

At PwC we want every individual to feel valued, respected and empowered to contribute fully. Creating an environment where everyone belongs and thrives unlocks greater innovation, productivity and deeper engagement.

If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.

AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business.

iSAM is an innovative, financial technology firm specialising in quantitative trading, compromised of iSAM Funds and iSAM Securities.

iSAM Securities regulated by the FCA, SFC, and CTFC, and CIMA registered, is a leading algorithmic trading firm and trusted electronic market maker, providing liquidity, technology and prime services to institutional clients and trading venues globally. The firm offers full-service prime brokerage and execution via its cutting-edge proprietary technology, as well as market leading analytics, cleared through the group’s bank Prime Brokers.

iSAM Funds is an alternative asset manager specialising in systematic investing. Each strategy is unique, provides a specialist quantitative approach and is designed to deliver highly diversifying absolute returns for institutional portfolios.

About the Role

We are seeking a Head of Corporate Infrastructure based in our London headquarters, reporting to the Chief Technology Officer.

This role is responsible for defining and delivering the strategy, performance, and evolution of Corporate Infrastructure across the organisation. The successful candidate will combine strong technical depth with a clear focus on leadership, stakeholder engagement, and operational excellence.

While remaining technically credible and able to guide architectural and operational decisions, the primary focus of the role is leadership, strategy, and organisational impact rather than full hands on delivery.

Key Responsibilities Leadership, Strategy & Stakeholder Engagement

• Define and own the Corporate Infrastructure strategy and multi year roadmap, aligned to business objectives and technology direction.
• Act as a partner to business units, ensuring Infrastructure services meet evolving needs and deliver an excellent end user experience.
• Build, lead, and develop a high performing global Corporate Infrastructure team, fostering a culture of ownership, collaboration, and continuous improvement.
• Provide clear direction and priorities across the team, balancing operational stability with strategic change.
• Own vendor relationships, strategic partnerships, and technology procurement decisions.
• Drive an automation first and engineering led culture across the team.

Service Ownership & Operational Excellence

• Own the performance and reliability of end user services, including Service Desk and End User Computing, ensuring a consistent and high quality global experience.
• Ensure robust lifecycle management of end user platforms (Windows, macOS, Linux), with strong governance around compliance, patching, and security.
• Oversee workplace technology across offices, including AV, collaboration tools, and office infrastructure.

Identity, Security & Risk Management

• Provide leadership oversight of identity and access management (AD, Entra ID, RBAC, joiner/mover/leaver processes).
• Partner closely with Cyber Security to strengthen the organisation’s security posture, including zero trust initiatives and endpoint protection.
• Ensure infrastructure services meet regulatory, audit, and compliance requirements expected within financial services.

Core Infrastructure & Cloud Services

• Own the strategy and reliability of core services such as DNS, DHCP, PKI, and certificate management.
• Oversee Microsoft 365, Azure infrastructure, and collaboration platforms, ensuring scalability, resilience, and cost efficiency.
• Ensure effective backup, recovery, and disaster recovery capabilities across corporate services.
• Own and maintain the Azure Virtual Desktop (AVD) based corporate business continuity plan.

Technical Oversight & Guidance

• Act as the senior technical authority for Corporate Infrastructure, providing guidance on architecture, tooling, and engineering standards.
• Support the team in solving complex technical challenges and act as an escalation point where required.
• Ensure adoption of modern engineering practices, including Infrastructure as Code, automation, and CI/CD approaches.
• Maintain sufficient hands on awareness to make informed decisions, without being a primary delivery resource.

Skills & Experience Leadership

• Proven experience leading and scaling infrastructure or end user technology teams in a complex, regulated environment.
• Strong stakeholder management skills, with the ability to influence both technical and non technical audiences.
• Track record of building high performing, engaged teams.

Technical Background

• Strong background in Microsoft centric infrastructure (AD, Azure, Microsoft 365, endpoint management).
• Deep understanding of identity and access management, security principles, and enterprise infrastructure design.
• Experience across both on premises and cloud environments.
• Solid understanding of networking fundamentals relevant to corporate infrastructure.
• Experience with enterprise backup and recovery solutions.
• Strong appreciation for automation first environments (PowerShell, Python, IaC, CI/CD).
• Experience introducing or scaling modern infrastructure practices (e.g., Terraform, Ansible, Git workflows).
• Ability to guide teams towards engineering best practices
• Experience overseeing macOS (e.g., Jamf) and Windows (e.g., Intune) environments at scale.
• Understanding of modern workplace tooling, collaboration platforms, and office infrastructure.

Personal Attributes

• Strategic thinker with a strong sense of ownership and accountability
• Clear communicator, able to translate technical concepts into business value
• Collaborative and approachable leadership style
• Pragmatic decision maker, balancing risk, speed, and quality
• Strong focus on continuous improvement and team development
• Naturally curious, with a desire to stay close to evolving technologies without being hands on

Position: SRE Site Reliability Engineering Developer
Location: London, UK (Hybrid 3 days onsite a week to office)
Duration: Full Time

Job Description:
Key Responsibilities:
The Monitoring and Observability team is responsible for managing:
Operating with a global footprint.
Collaborating across various organizations within Citi to understand and develop observability solutions for enterprise-wide deployment at scale.
Managing the Legacy monitoring stack across the Production Management organization within Citi.
Driving the strategic delivery of end-to-end Observability solutions in Citi.
Providing in-depth analysis with interpretive thinking to define problems and develop innovative solutions.
Directly impacting the business by influencing strategic functional decisions through advice, counsel, or provided services.
Persuading and influencing others through strong and comprehensive communication and diplomacy skills.
Performing other duties and functions as assigned.

Essential Skills:
OpenShift/Kubernetes Administration: Experience deploying, managing, and troubleshooting containerized applications on OpenShift/Kubernetes, including resource management and networking.
Grafana & Observability Stack:
o Proficiency in administering Geneos ITRS at scale.
o Proficiency in administering Grafana (user management, data sources, dashboards, alerts).
o Working knowledge of Grafana Back End components: Mimir (metrics), Loki (logs), and Tempo (traces).
o Experience with Prometheus for metric collection and PromQL for querying.
Helm Chart Management: Experience with Helm for deploying applications, including creating, modifying, and managing Helm charts, library charts, and dependencies.
Technical Documentation: Ability to create clear and concise documentation for systems and processes.

Desired Skills:
Application Deployment: Ability to deploy applications using Lightspeed Enterprise.
Google Cloud Operations: Experience with Google Cloud operations.
Scripting & Automation: Experience with Bash or Python Scripting for automating operational tasks.

AI Scientist / Machine Learning Engineer Role

We are looking for an AI scientist or machine learning engineer to design and implement the algorithms that power Biostream’s physiological monitoring and alert systems.

You will work closely with the biostatistics team to translate probabilistic and Bayesian models into deployable algorithms that operate on real-world sensor data. The role focuses on building robust machine learning systems capable of detecting physiological deterioration from multi-sensor inputs in complex and noisy environments.

You will collaborate with engineers, statisticians, and medical advisors to develop models that can operate on-device or in distributed systems with constrained connectivity.

Responsibilities

• Design and develop machine learning algorithms for physiological signal analysis and risk detection
• Work closely with the biostatistician to implement Bayesian models and probabilistic frameworks
• Develop models combining vital signs, motion data, and contextual signals
• Build pipelines for sensor data processing, feature extraction, and model training
• Implement algorithms suitable for real-time and edge deployment
• Evaluate model performance and robustness across heterogeneous datasets
• Develop simulation and testing environments for algorithm validation
• Contribute to the integration of models into the broader software platform

Profile

• MSc or PhD in machine learning, artificial intelligence, computer science, applied mathematics, or a related field
• Strong experience developing machine learning models for time-series or sensor data
• Strong programming skills in Python
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience building data pipelines and training workflows
• Ability to work with imperfect, noisy, or incomplete datasets

Nice to Have

• Experience with physiological signal processing (ECG, PPG, respiration, etc.)
• Experience working with wearables or biosensor data
• Familiarity with Bayesian modelling or probabilistic machine learning
• Experience deploying models on edge devices or constrained hardware
• Experience with healthtech, medical AI, or clinical datasets

What You Will Work On

• Physiological signal processing
• Integration of probabilistic models with machine learning systems
• Real-time monitoring and alert systems
• Deployment of models in constrained operational environments

Overview

Who are we? Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world’s leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e-commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology.

At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn’t, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category-leading destination for every fashion shopper.

The role

We are looking for a new engineer to join our Product Listings squad to help Lyst work on transforming the shopping experience of fashion lovers. You will work closely with our current engineers, designers, product managers, and analysts to develop new product features. As a member of the Product Listings team, you’ll work on maintaining and improving our product data and marketing systems. The team is responsible for keeping good product data, transforming it for the rest of the company to empower user journeys and support effective marketing campaigns.

We are data-driven and make decisions based on empirical results. You share the data mindset, can suggest pragmatic experiments to prove a hypothesis, and are willing to be proven wrong by data. Your role will be to drive technical improvements and innovations to the system through partnering with your product manager and tech leadership.

First three months

Within the first three months, you will be able to:

• Contribute to every part of our system, tests, documentation, as well as code and process.
• Collaborate with product managers, engineers, analytics, QA and designers.
• Ensure the stability of our system by improving the monitoring tools we use.
• Write resilient code that is well tested (unit, integration, etc.) and quality controlled.
• Engage in code reviews to ensure pragmatic code makes it to production.
• Be curious - not just the code, but the architecture of our platforms and everything that makes them work and the product.
• Participate in all team ceremonies and have direct input in the team’s ways of working.
• Work inside Product Development tribe towards the success of the Lyst Marketplace, collaborating with key teams from Discovery, CRM or Paid Marketing.
• Gain expertise over our tools and services: Python, Docker, Github Actions, PostgreSQL, etc.

About the team

• We improve and maintain services that ingest high volumes of product updates provided from thousands of different partners in parallel.

• We use Machine Learning to normalise and enrich the product data to improve the customer experience.

• We maintain systems critical for our analytics data and reporting.

• We strive to keep our services highly available and scalable.

• We aim to follow good observability standards and be proactive instead of reactive.

• We are fully AWS hosted, utilising a range of tools and setups: ECS, Docker, GitHub, GHA, Postgresql, Redis, SQS, Sentry and more.

• We support internal teams that work directly with fashion partners.

• We also support marketing executives and their campaigns with bespoke systems.

• We value collaboration and knowledge sharing within the team and beyond.

• We are a no-blame culture.

Core Requirements

• Proven experience with Django/Python and web fundamentals.
• Strong knowledge of Software Architecture Design Principles.
• Communication: You can communicate clearly and are open to feedback when sharing ideas with everyone on the team. You can explain your ideas clearly and transform them into plans. You can design the solution to a complex problem.
• Quality - You strive to write code that is readable by everyone, well tested and robust in production. Code without rigorous tests helps no one.
• You aren’t afraid to refactor existing code in favour of working around shortcomings.
• A thorough knowledge of automated testing, particularly unit testing.
• Knowledge of CI/CD pipelines like GitHub Actions (GHA).
• As a Senior Engineer, you can coach and mentor your peers. You can take problem statements and recommend solutions. You can take on a role of feature lead and own the delivery of a piece of software.

Bonus points

• Experience with data pipelines with frequent updates at high scale
• Experience with ETL pipelines (DBT, Snowflake)
• Experience with Machine Learning technologies

Things that matter to us

• You are curious at heart and like to take ownership of something to make it better.
• You like to focus on quality and improving systems.
• Being confronted with a difficult or strange problem makes you feel like a detective who wants to crack the mystery.
• Sense of ownership over products, features and services the team looks after.
• You have good experience dealing with legacy code.
• You like to build and improve dashboards to follow technical and business metrics.
• You have experience building for fault tolerance.

Our Ways of Working

• We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. We believe that in person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home.

Time Off

• In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst’s holiday year runs from 1 April to 31 March.

Remote Working

• Work from anywhere for up to 4 weeks per year

Benefits

• Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss.
• Clothing Benefit: We provide a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service.
• Private Healthcare: Our healthcare provider is Vitality. We offer a comprehensive healthcare scheme from the day you start.
• Training Allowance: Annual training allowance of £1,000 for conferences, courses and resources.
• Pension Scheme: Our pension provider is The People’s Pension with a minimum employee contribution of 5% and 3% employer contribution.
• Eye Tests and Vouchers: Free eye test every year and discounts on glasses.
• Cycle-to-Work Scheme: Lyst will purchase a bicycle for you and provide a voucher to collect it.
• Transport Season Ticket Loan: Interest-free season ticket loan.
• Social Events: Frequent company-wide events and interest-based groups.

One of the most exciting prospects in the UK cyber security sector today, Bridewell is a leading cyber security services company specialising in protecting and transforming critical business functions for some of the world’s most trusted organisations. We are the trusted partner for operators of essential services andprovideend-to-end cyber security capabilities that help our clients overcome their security challenges, allowing themtooperatesafely and securely.

Bridewell holds theGoldlevel, Investors in People award which we feel solidifies and reflects on the outstanding calibre that makes us truly one team.

Who are we looking for?

Bridewell is looking for a Generative AI Engineer to design and implement cutting-edge AI solutions leveraging generative models. You will focus on prompt engineering, model fine-tuning, and ensuring secure deployment of AI systems. If you are passionate about generative AI and innovation, this role is for you.

What you’ll be doing

Responsibilities:

• Design, develop, and fine-tune generative AI models
• Create and optimize prompts for large language models
• Prototype and deliver proof-of-concept solutions
• Document requirements and maintain clear technical specifications
• Collaborate with other team members and cybersecurity specialists
• Ensure security and privacy controls are applied to AI systems

What we’re looking for

You’ll have experience of:

• Knowledge and interest in computer systems and the latest technologies
• Strong understanding of cloud services such as SaaS, PaaS, IaaS, serverless and other key services
• Attention to detail and ability to complete tasks to a high standard (essential)
• The ability to communicate complex procedures to other colleagues
• Commercial and business awareness
• Passionate about security
• Good communication skills - both written and verbal
• Motivated to pick up new technologies
• Naturally driven, enthusiastic and willing to learn

Required/Desirable Skills:

• Strong understanding of generative AI architectures and prompt engineering patterns (essential)
• Ability to code in Python (essential)
• Familiarity with TensorFlow, PyTorch, or Hugging Face (essential)
• Experience with version control, e.g., Git (essential)
• Understanding of CI/CD pipelines (essential)
• Strong documentation and requirements analysis skills (essential)
• Experience with process automation frameworks such as LangChain or LangGraph (essential)
• JavaScript coding ability (desirable)
• Familiarity with security automation concepts (desirable)
• Understanding of cybersecurity principles and operational processes (desirable)
• Experience building prototypes or proof of concept AI solutions (desirable)
• Knowledge of privacy and security controls in AI systems (desirable)

Why join us?

Our vision is to create a safe, inclusive digital world where people and organisations can thrive. Our values ofDo the Right Thing, One Team and Above and Beyondemphasises the importance of the part we play in society, and our commitment to our people and clients. Our story to-date has been phenomenal, but successdoesn’tend here and as we continue to grow and scale, we want to keep the same culture, passion and commitment to high quality that has enabled us to get this far. Bridewell willprovidea great careeropportunity with continual development as well as the following:

• 25 Days Holiday - Plus buy and sell options

• Flexible Working (around core office hours)

• Employee Benefit Trust

• Company Pension

• Personal Day & Birthday Off - After 1 year of service

• Family Leave - After 1 year of service

• Enhanced Maternity based on length of service

• Dedicated Training Budget

• Life Assurance

• Electric Vehicle Scheme& Cycle to Work Scheme

• Private Healthcare (incl. Gym discounts and vison care)

Location: Bridewelloperatesa hybrid and flexible workingpolicy,however you willbe requiredto travel to different sites on occasion. Note: To be eligible for this job you must either hold SC or be eligible and willing to go through security clearance.

Bridewell values diversity in the workplace and is a fair and equal opportunity employer. We are committed to creating an equal and inclusive working environment, with the aim that our employees will be truly representative of all sections of society and each person feels respected and able to give their best.

The MSCI Index Coverage team is responsible for the growth, adoption, and commercial advancement of MSCI indexes and solutions across all segments in EMEA. Within our Index Coverage team, Asset Manager and ETF specialists position MSCI indexes, data and technology solutions to support clients across a wide variety of use cases, including benchmarking, risk and performance, services that enable scale, and to serve as the basis for financial products such as index-linked ETFs.

The team is client-focused, connecting with all parts of the trading ecosystem, including the buy-side, sell-side, market makers, and asset owners such as pension plans and wealth managers. The MSCI Index Coverage team is constantly engaged with MSCI’s senior leadership team and global colleagues to drive development, education and adoption of indexes and tools for use in the investment management process.

This is an opportunity to work alongside the well-established MSCI Index Coverage Team to extend index data, tools and services within one of the fastest growing corners of the market - Active ETFs.

Responsibilities

• The Active ETF Specialist EMEA will report to the EMEA Head of Indexed Investments & Solutions and be responsible for engaging with Asset Managers, primarily in the UK and continental Europe, with the goal of supporting their growth and financial product development of index-linked products (e.g., for Active ETFs).
• Be entrepreneurial in efforts to establish and build upon client relationships, especially key investment personnel and product-related decision makers.
• Develop in-depth understanding of clients’ strategic product initiatives, as well as efficiency and cost-focused priorities for scale and asset growth, to develop and position innovative new product ideas and workflows.
• Build client specific and business specific plans and strategies in tandem with the regional Index Products team, which includes the development of internal and external pitch book material and collateral.
• Coordinate efforts and initiatives by collaborating with existing specialists, senior account managers, product, research, marketing and other teams.
• Support management with business reporting and strategy/operating plan development.

Qualifications

• The successful candidate will have a minimum 10 years of experience within the Active Asset Management industry, with an emphasis on roles including product strategy, development and execution, client portfolio management and/or business development for financial products (e.g., publicly available ETFs or mutual funds).
• Deep understanding of active portfolio construction - including investment frameworks, decision-making processes, and alpha generation methodologies along with quantitative bottom up and top-down techniques.
• A thorough sense of the competition, market structure and regulatory landscape, inclusive of trends and how those may shape future product needs.
• Knowledge of key players and client segments throughout the ecosystem, including asset owners, wealth managers, liquidity providers, and traditional as well as digital distribution platforms.
• Strong track record of innovation, collaboration and communication, preferably with global cross-functional teams such as research, client coverage, product, marketing and technology.
• Ability to integrate and apply the full MSCI toolkit - leveraging analytics, data, research, and technology - to support clients across the entire alpha delivery lifecycle.
• Proven analytical skills and a solutions mindset.
• Experience of integrating climate considerations into investment strategies is considered a plus.
• Impeccable attention to detail, excellent organizational skills and an ability to run multiple initiatives and projects simultaneously in a fast-paced environment.
• Ideally knowledge of Python, Vba and SQL but not a prerequisite.
• Proficiency in AI tools such as ChatGPT and Claude.

Benefits

• Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
• Flexible working arrangements, advanced technology, and collaborative workspaces.
• A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
• A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
• Global Orientation program to kickstart your journey, followed by access to our platform, AI Learning Center, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
• Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
• We actively nurture an environment that builds a sense of inclusion, belonging and connection, including eight Employee Resource Groups: All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.

Portfolio Pricing Lead (Portfolio Management)

Location: Primarily remote with occasional travel. Offices located in Kent, Cambridshire, Manchester, London and Stoke-on-Trent.

Role Overview

We are seeking an experienced Portfolio Pricing Lead to play a pivotal role in our growing Portfolio Management function within the dynamic world of personal lines underwriting. This role is suited to a highly capable senior analyst or pricing lead who is already operating with significant autonomy, strategic influence, and technical depth.

You will own and steer critical elements of portfolio performance, pricing strategy, and risk modelling, shaping how we optimise profitability and growth across our product suite. Acting as a subject matter expert, you will lead sophisticated analytical initiatives, drive pricing interventions, and influence decision making across senior stakeholders.

In addition to overseeing key analytical deliverables, you will actively guide and develop analysts, champion best practice pricing methodologies, and contribute to the evolution of our pricing capability and operating model.

The Pricing Portfolio Management team is responsible for innovating modelling approaches, refreshing and enhancing price optimisation methodologies, and ensuring our pricing infrastructure remains competitive, particularly within aggregator driven markets.

Key Responsibilities

• Lead the design, enhancement, and implementation of portfolio performance monitoring frameworks across product lines, ensuring clarity of insight and proactive issue identification.
• Drive pricing strategy and tactical interventions, partnering closely with the Pricing Manager and wider leadership to optimise commercial outcomes.
• Provide senior level analytical oversight, ensuring pricing recommendations are robust, commercially aligned, and supportive of long term profitability goals.
• Collaborate strategically with Underwriting, Technical Modelling, and Data teams to refine product design, calibrate technical models, and strengthen risk cost feedback loops.
• Act as the analytical voice across the business, managing senior stakeholder relationships and confidently communicating complex insights and pricing impacts.
• Coach, support, and develop junior analysts, fostering a high performing, innovative, and curious team culture.
• Shape and influence the Pricing roadmap, contributing to long term strategic planning, capability development, and continuous improvement initiatives.

Key Skills and Experience

• Extensive experience in Personal Lines Pricing, with evidence of leading projects, influencing senior stakeholders, and owning complex analytical deliverables.
• Strong proficiency in predictive modelling techniques, including Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Networks, and Clustering.
• Advanced skills in R, Python, PySpark, SAS, or SQL.
• Proven ability to convert complex performance data into clear, commercially actionable recommendations.
• Experience with WTW Radar and Emblem is essential.
• Exceptional communication skills, capable of simplifying complexity and shaping decisions at all levels.
• A strong quantitative academic background in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science.

Behaviours

• Highly self motivated, with a strong commitment to developing and mentoring others.
• Logical, structured thinker with a proactive and positive approach to problem solving.
• Passionate about innovation, continuous improvement, and challenging established ways of working.

Are you ready to make a significant impact in the world of model risk management? At Model Risk Governance and Review Group (MRGR), we are at the forefront of assessing and mitigating model risks across the globe. With a presence in major financial hubs like New York, London, Mumbai, and Paris, our team collaborates with top professionals in Risk, Finance, and Model Development. This is your chance to work in a dynamic environment, gain exposure to various business areas, and contribute to critical decision making processes.

As a Model Risk Analyst/Associate in the Model Risk Governance and Review team, you will play a crucial role in reviewing equityderivatives models and enhancing model risk governance. You will collaborate with model developers, trading desks, and risk professionals to ensure the soundness and suitability of complex pricing models. Together, we will drive innovation and maintain robust model risk controls.

Job responsibilities

• Analyze the conceptual soundness of complex pricing models and reserve methodologies.
• Develop and implement alternative model benchmarks and performance metrics.
• Liaise with model developers, trading desks, and risk professionals to provide guidance on model risk and usage.
• Maintain model risk control apparatus and serve as the first point of contact for the coverage area.

Required qualifications, capabilities, and skills

• Excellence in probability theory, stochastic processes, statistics, and numerical analysis.
• Strong understanding of option pricing theory and quantitative models for derivatives.
• Experience with Monte Carlo and numerical methods.
• Strong analytical and problem solving abilities.
• MSc or equivalent in a relevant field.
• Proficiency in C/C++ programming and Python.
• Inquisitive nature with excellent communication skills.
• Teamwork oriented mindset.

Preferred qualifications, capabilities, and skills

• Experiencewithequity derivatives

We’re building out a trading initiative in London, with a growing focus on listed commodities options. This expansion is supported by a mix of internal talent and experienced external hires. With a collaborative and entrepreneurial culture, the team offers a unique opportunity to help shape and scale a new desk from an early stage.

The group combines deep expertise with broad trading experience and values innovation, ownership, and cross functional collaboration. As the desk continues to grow, there will be increasing opportunities to take on broader responsibilities and contribute meaningfully to its success.

Your Core Responsibilities:

• Own fundamental and news analysis, delivering morning market updates, weekly wraps, and previews of key upcoming catalysts for energy markets.
• Work directly with traders and quants to identify and capitalize on short term dislocations and longer term macro opportunities in energy markets.
• Develop and refine data driven models to forecast supply, demand, price, and volatility movements.
• Deliver real time market insights on geopolitical risks, inventory trends, refinery margins, and systematic flows.
• Work directly with traders and quant teams to translate fundamental views into actionable trading strategies.
• Build and maintain high quality datasets to enhance market understanding and improve decision making.
• Take ownership and initiative to drive research and trading strategy development.

Your Skills and Experience:

• Education in Economics, Finance, or a related Engineering field
• 3+ years of experience in energy markets and macro analysis, trading or research.
• Familiarity with options pricing models and volatility dynamics
• Strong understanding of physical and derivatives markets, including supply chains, refinery economics, and hedging flows.
• Entrepreneurial mindset with a passion for market structure, trading flows, and price discovery.
• Proficient in Python, R, or SQL for data analysis and model development.
• Ability to communicate complex insights clearly and concisely in a fast paced trading environment.

At IMC, we understand the importance of diversity, equity and inclusion, and are committed to continually improving this in our recruitment process.

Join us as a Vice President Financial Crime Transaction Monitoring ™ Control Owner, where you will shape the future of Banking at Barclays. This is a high impact role at the intersection of financial crime risk, automated detection, and advanced model development. You’ll be responsible for ensuring robust TM controls across multiple business lines, driving the evolution of automated monitoring capabilities, and overseeing model performance, data quality, and optimisation.

To be successful as a Vice President Financial Crime TM Control Owner, you should have:

• Proven expertise in automated Transaction Monitoring systems, including model development, optimisation, and ongoing performance management.
• Advanced analytical capabilities with experience resolving model related data integrity and data quality issues. related data integrity and data quality issues.
• In-depth knowledge of Transaction Monitoring frameworks, including the ability to provide effective oversight and ensure alignment with regulatory expectations.
• Exceptional stakeholder management skills, with the ability to influence and collaborate effectively at senior levels.

Some other highly valued skills may include:

• Coding proficiency (e.g., Python, SQL).
• Project management experience in financial crime or risk domains.
• Familiarity with machine learning or AI tools in TM or fraud detection.
• Recognized financial crime qualifications (e.g., ICA, ACAMS).

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in London.

Purpose of the role

To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems.

Accountabilities

• Acquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds.
• Performing data cleaning and pre-processing tasks to ensure data quality and suitability for model development.
• Design and implementation of data management strategies for model maintenance and future development.
• Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation.
• Monitoring model performance in real-time and identify any potential issues or biases.
• Leading training, mentoring, and knowledge-sharing sessions to uplift ML capability across the organisation.
• Evaluating and piloting emerging technologies, tools, and frameworks to ensure the organisation remains at the forefront of AI innovation.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others
• OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Introduction

At Gallagher Re, we bring clarity to complexity by helping clients around the world make confident, data driven decisions in a rapidly evolving risk landscape. Here, you’ll be part of a team that leverages world class analytics and deep reinsurance expertise to deliver strategic advisory services and transactional excellence. Together, we transform advanced insights and market intelligence into strategies that protect businesses, drive performance, and shape the future of reinsurance. We’re a community of decision makers, future shapers, and trusted experts working side by side to deliver meaningful impact through innovative thinking and practical solutions. At Gallagher Re, your curiosity is welcomed, your growth is championed, and your work truly matters. This is a place where you’ll have the freedom to explore new ideas, take ownership of your career, and collaborate with people who are as driven and inquisitive as you are.

Overview

Join Gallagher Re’s Property Research team as a senior catastrophe risk expert.

We’re looking for someone passionate about natural hazards, risk management, and innovative solutions. You’ll work with brokers, clients, and industry partners to improve how we understand and manage property risks worldwide.

How you’ll make an impact

• Be a trusted advisor to clients, explaining complex catastrophe models and risk insights.
• Lead research and evaluation of catastrophe models, ensuring they meet the highest standards.
• Develop new tools and solutions to help clients manage risk.
• Stay updated on the latest scientific research, including climate change.
• Manage multiple projects, often with tight deadlines, and deliver exceptional results.
• Collaborate with global teams, academic partners, and industry experts.
• Share your expertise at conferences and guide junior team members to grow their skills.

About You

• You have a PhD in Hydrology, Climatology, Engineering, or a related field.
• You’re skilled in programming (R, Python, SQL) and working with spatial datasets.
• You’re a clear communicator, both in writing and speaking.
• You’re detail oriented, analytical, and a team player.
• You understand catastrophe models, risk management, and the (re)insurance industry.
• You have 4+ years of experience in insurance/reinsurance, ideally in catastrophe modelling.
• You are eligible to work in the UK.

Compensation and benefits

On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits.

Minimum core benefits you’ll get, depending on your job level these benefits may improve:

• Minimum of 25 days holiday, plus bank holidays, and the option to ‘buy’ extra days
• Defined contribution pension scheme, which Gallagher will also contribute to
• Life insurance, which will pay 4x your basic annual salary, which you can top up to 10x
• Income protection, we’ll cover up to 50% of your annual income, with options to top up
• Health cash plan or Private medical insurance

Other benefits include:

• Three fully paid volunteering days per year
• Employee Stock Purchase plan, offering company shares at a discount
• Share incentive plan, HMRC approved, tax effective, stock purchase plan
• Critical illness cover
• Discounted gym membership, with over 3,000 gyms nationally
• Season ticket loan
• Access to a discounted voucher portal to save money on your weekly shop or next big purchase
• Emergency back up family care
• and many more

We value inclusion and diversity

Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organisation. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.

Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.

Gallagher is Disability Confident Committed. We have pledged to make sure our recruitment process is inclusive and accessible, in addition to supporting our existing employees with any long term health conditions or disabilities.

We understand that applicants may have disabilities, if you do, you may find some parts of the recruitment process more challenging than others. Don’t worry, we’re here to help, however, we can only do this if you let us know.

Should you require reasonable adjustments to your application, please let us know by emailing or by phone by requesting a callback and leaving details so we can get in touch.

Our employing entity, Arthur J. Gallagher Services (UK) Limited, is proud to be accredited as a Living Wage employer with the Living Wage Foundation. We are committed to diversity and opportunity for all and are opposed to any form of less favourable treatment on the grounds of gender or gender identity, marital status, civil partnership status, parental status, race, ethnicity, colour, nationality, disability, sexual orientation, religion/ belief, age and those with caring responsibilities.

Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, colour, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws.

Equal employment opportunity will be extended in all aspects of the employer employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.