We’re seeking an exceptional Senior Manager ofAI, Automation & Integration to play a pivotal role in driving innovation across Barnardo’s. This senior role will lead the strategic development and delivery of Artificial Intelligence (AI), automation and systems integration initiatives that enhance service delivery, improve operational efficiency and support our mission to transform the lives of vulnerable children and young people.

This is a full-time, hybrid role, with occasional travel to London (anticipated to be no more than once per quarter).

Key Responsibilities Include

• Develop and deliver Barnardo’s AI and Integration strategy, aligned with organisational, DDaT and ethical standards
• Identify and champion opportunities for AI, automation and integration that deliver measurable value
• Lead the design, implementation and scaling of AI solutions, including Microsoft Copilot, Copilot Studio and Azure AI
• Ensure AI solutions are transparent, secure, and compliant with safeguarding and data protection requirements
• Lead scalable, secure integrations using Azure Integration Services, APIs, webhooks and CI/CD pipelines
• Establish and maintain governance frameworks for AI, automation and integration

What We are Looking for

• Strong experience delivering AI, automation and integration solutions at scale
• Excellent knowledge of the Microsoft technology stack, including Azure, Dynamics 365 and Copilot
• Proven leadership and team development skills
• Experience designing secure, governed and compliant technology solutions
• The ability to translate business needs into impactful digital solutions
• A collaborative, values-led approach aligned with Barnardo’s mission

If you’re passionate about using AI and digital innovation to make a meaningful difference, we would like to hear from you.

Please note due to the high volume ofapplications for some posts, this advert might close before the displayed closing date. We recommend that you apply for this role as soon as

Pay & Reward Framework

We know that our colleagues go above and beyond in delivering our vital work, driven by their passion and commitment to Barnardo’s?values. We also know that we can only realise our ambitions and achieve better outcomes for more children, thanks to the talent, hard work and creativity of our people.

For all these reasons, we are committed to a new approach to pay and reward, to ensure it is fair, attractive and progressive, which was rolled out in April 2023. This is a positive change for the charity, and a part of our?People & Culture?Strategy. It will assist us in supporting colleagues to belong, thrive and grow in their colleague journey at Barnardo’s and in time will offer clear routes of progression for colleagues in both their career and their pay.

Whilst the full pay band and salary range is advertised, our approach to starting salaries is to appoint between the minimum to mid-point of the pay band this ensures that pay steps are available to reward our colleagues annually based on their contribution to excellence and alignment to our values and behaviours. More details on Barnardo’s pay framework can be found upon application.

Benefits

Workplace Offer: What it means for you

Our hybrid working initiative is based on trust, flexibility and empowerment. We understand our workplace offer means different things to different people, and we encourage those conversations. This may mean working at one of our stores, services, working at home, in the community, at one of our Collaboration Hubs or depending on the role any combination of these. Please read through the advert carefully to understand the remits of hybrid working that will be specific to the role.

Barnardo’s require colleagues to be UK residents, based in the UK and to complete their roles from within the UK (with the exception of colleagues providing Barnardo’s services in Jersey and colleagues who live in the Republic of Ireland providing services in Northern Ireland)

• Barnardo’s believe in creating equality of opportunity in the workplace and supporting people to manage their work-life balance; we are therefore open to offering flexible working arrangements.
• Annual Leave entitlement for full-time colleagues is 26 days per annum, increasing to 27 days per annum, after 3 years Barnardo’s service, 29 days per annum, after 5 years Barnardo’s service and 30 days per annum, after 7 years Barnardo’s service. Those working less than full time are entitled to the same level of holiday pro rata
• The ability to buy up to another 5 days annual leave via our Buy Your Leave scheme
• A host of family friendly leave options including company Maternity Paternity and Adoption pay; together with all family additional leave options
• Service related sick pay from day 1
• Access to a Group Personal Pension with a matched 4% or 6% contribution from Barnardo’s. Ability to pay via salary sacrifice to garner both tax and NI savings on your own contribution
• Death in service cover of 4x annual earnings for all staff contributing to our Group Personal Pension
• Cycle2work scheme
• Interest free season ticket loans
• Discounts and cashback from at high street shops including major supermarkets, cinemas, gyms, leisure/theme parks, holidays and much more via our Benefit Portal
• 20% discount at Barnardo’s stores
• Opportunity to purchase a health cash plan to claim towards dental, glasses, therapy etc
• Free access to round the clock employee assistance program for advice and support
• Access to Barnardo’s Learning and Development offer

*T&C’s apply based on contract

About Barnardo’s

We arecommitted to being an inclusive employer and cultivating a culture where everyone can belong and thrive through inclusion and connectivity. We want our workforce to be reflective of the communities we work with, and for equality, diversity and inclusion to be embedded in everything we do. We are a Disability Confident Leader, are progressing our ambition to be an anti-racist organisation with Anti-Racism Commitments and actions in place and have networks for colleagues who are disabled, LGBT+, Black and Minoritised Ethnic and Women. We particularly encourage applications from Black and Minoritised Ethnic and/or disabled candidates who are currently underrepresented in our workforce. For disabled applicants, we offer reasonable adjustments throughout the recruitment process.

ABOUT US:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

OUR PEOPLE:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers!!

ROLE SUMMARY:

FTSE Russell, a leader in global indexing and analytics, is seeking a skilled and motivated Quantitative Engineer to build robust, scalable and automated applications that support trillions in assets. You will have a combined understanding and background in software engineering, quantitative finance and data analysis to help build the next generation of Index solutions. Your work will be at the intersection of finance and technology, working alongside other analysts and engineers supporting the timely delivery of high-quality software, and fostering a culture of learning, innovation and continuous improvement.

WHAT YOU’LL BE DOING:

As a Quantitative Engineer, you’ll build with purpose - solving real-world problems with measurable impact. You will need to possess an excellent attention to detail and an ability to think laterally to solve business problems alongside an ability to hit the ground running, learn quickly and work against tight deadlines.

• Develop and Engineer: Write clean, efficient, maintainable code to support index calculations, back-testing, performance attribution and analytics frameworks used for internal and external stakeholders. Build tools to streamline Index monitoring, validation and rebalancing as well as ad-hoc requests.
• Work with data: Integrate, process, clean and analyze financial datasets including traded instruments (equity, fixed-income, currencies, commodities and their derivatives), reference and alternative data, and ensure their appropriateness for production grade applications.
• Automate and Scale: Implement RESTful APIs, cloud-native solutions, microservices, and automated CI/CD pipelines for rapid delivery. Design test cases and implement automated test drivers. Analyse production problems, provide troubleshooting and support as and when needed.
• Business Support: Collaborate with Product, Research and Operations teams to provide support and tools for their day-to-day and periodic activities, transition prototype code to our unified Enterprise computational framework and extend the Firm’s analytics and product offering.
• Learn and Grow: Gain in depth exposure to quantitative methods, systematic investment strategies and associated analytics, and the full lifecycle of FTSER’s product offering. Communicate with clarity, precision, and influence, presenting complex information in a clear and concise format that is appropriate for the audience.

WHAT YOU’LL BRING:

• Minimum 2 years experience of quantitative analytics, research and development within financial services with a bank, asset manager, insurance company or related vendor. Strong background and expertise in data and methods applicable within risk management, portfolio construction, systematic investment strategies, cross-asset cash and derivative instruments and conventions are required.
• Graduate with an advanced degree (MSc or PhD) in Mathematics, Computer Science, Financial Engineering, Statistics, Physics or related scientific discipline, with any further professional qualifications being welcome.
• Strong programming skills in Python and SQL. Experience and exposure to data analytics libraries such as numpy, pandas, scipy, cvxpy. Experience with queries and familiarity with stored procedures. Familiarity with code version control tools such as GIT or similar, and ideally experience with APIs implementation
• Strong background in software engineering best practices, standards and principles. Ability to write high performance code, strong understanding of data structures, algorithmic development, code optimization and complex problem-solving skills are required.
• Additional programming skills in C# or Java, experience defining manipulating, and managing configurations and systems based on JSON and XML models. Database skills across standard technologies such as SQL Server, Sybase, Snowflake or PostgreSQL. Cloud development, management and deployment with services such as AWS (EC2, Lambda, Glue, EKS, SQS) or similar.

Career Stage:
Senior Associate

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

This is a high-frequency proprietary trading firm founded in 1998, seeking a Quant Developer to join one of its trading teams in London.

Joining the EMEA Development team as a Quant Developer you will be in charge of improving the current research framework through the development of existing and new tools, and providing close day-to-day support to the quantitative research team on-site.

Responsibilities:

• Iterating quickly with on-site quantitative researchers on the research processes in order to improve the desk’s quantitative trading strategies P&L
• Developing Python tools used in trading strategies research
• Improving the existing simulation/backtest framework
• Monitoring & maintenance of quantitative research jobs
• Help global research team on EMEA-related research through various communication channels

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience); Master’s degree is preferred
• Very good knowledge of Python language and statistical libraries like Numpy, Pandas, Polars
• Minimum 5 years’ experience in Python development
• Strong problem-solving skills, and the ability to work in a fast-paced, collaborative and geographically distributed environment
• Excellent communication and teamworking abilities

Nice to Have:

• Experience in C++ development
• Experience with scripting languages, such as Bash
• Experience with workflow management and task scheduling
• Good knowledge of both Equities and Equity Derivatives trading

Benefits include:

• Competitive salary and discretionary bonuses
• 6 weeks of paid vacation per year
• Breakfast, lunch, and snacks on a daily basis
• International medical insurance
• Free gym membership
• For employees ineligible to participate in the CPF, the cash equivalent of the employer’s CPF contribution
• Free events and workshops
• Donation matching program

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you, or you’d like more information, please get in touch:

George Hutchinson-Binks
george.hutchinson-binks@oxfordknight.co.uk
(+44) 07885 545220
linkedin.com/in/george-hutchinson-binks-a62a69252

About Us

At Ten10, we help organisations accelerate digital transformation by combining deep technical expertise with a passion for innovation. We partner with leading enterprises to design and deliver intelligent automation and low-code solutions that unlock efficiency, improve experiences, and enable scalability.

We believe in empowering our clients and colleagues - whether thats modernising processes with AI-driven automation or mentoring the next generation of talent through our academy.

The Role

We are looking for a Senior Intelligent Automation & Low-Code Developer with a strong focus on Microsoft Power Platform and Copilot technologies.

Youll play an important role in designing, developing, and delivering innovative automation and low-code solutions as part of a collaborative delivery team. You will contribute to client engagements, support junior team members, and work closely with Lead Consultants and Architects to deliver high-quality outcomes.

This is a hands-on technical role that also requires strong communication skills, stakeholder engagement experience, and the ability to contribute to automation initiatives within client environments.

Why Join Us?

• Work at the cutting edge of AI-driven automation and Microsoft Copilot.
• Influence strategic digital transformation programmes across industries.
• Be part of a collaborative, growing consultancy where your impact is visible.
• Mentor and develop junior colleagues through Ten10s award-winning academy.
• Flexible working with opportunities to engage directly with clients.

Key Responsibilities

• Solution Development: Design, build, and deploy automation and low-code solutions using Power Platform (Power Apps, Power Automate, Power BI) and Microsoft Copilot, ensuring quality and scalability.
• Client Engagement: Engage with a range of stakeholders to gather requirements, demonstrate solutions, and support successful delivery.
• Team Contribution & Mentorship: Support and guide junior developers, sharing knowledge and contributing to a strong team culture.
• Continuous Improvement: Stay current with emerging Microsoft technologies, Copilot capabilities, and AI-driven automation trends, applying new learning to client projects.
• Collaboration: Work closely with delivery teams, architects, and consultants to ensure solutions are robust, scalable, and aligned to client needs.

Essential Expertise

• Proven experience in Power Platform development (Power Apps, Power Automate, Power BI).
• Hands-on experience with Microsoft Copilot (e.g., Copilot Studio, Copilot in Power Platform).
• Experience engaging with business stakeholders and translating requirements into technical solutions.
• Experience supporting or mentoring junior team members.
• Strong problem-solving, solution design, and analytical skills.

Desirable Expertise

• Microsoft Certifications in Power Platform and/or Copilot.
• Previous RPA experience (UiPath, Power Automate Desktop, Blue Prism, Automation Anywhere).
• Knowledge of coding languages (e.g., .NET, JavaScript, Python) to extend low-code solutions (not essential).
• Experience integrating Power Platform with Azure AI services or other enterprise systems.

What Were Looking For

• A proactive and collaborative consultant with a passion for intelligent automation.
• Comfortable operating in a hands-on technical capacity while contributing to broader solution discussions.
• A clear communicator who can bridge business and technology conversations.
• Driven, adaptable, and motivated by continuous learning and innovation.

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.

Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at

* As at 31 December 2025

About Man AHL:

Man AHL employs diversified quantitative techniques to offer a range of strategies which encompass traditional momentum, non-traditional momentum, multi-strategy and sector-based approaches. Man AHL’s strategies are primarily alternative and seek to gain potential predictive, alpha-generating insights through rigorous analysis of large data sets.

Man AHL is a specialised engine, applying scientific rigour and advanced technology and execution to a diverse range of data to build systematic investment strategies, trading continuously over hundreds of global markets. The team of 150 investment professionals, including 110 researchers, is comprised of scientists, technologists and finance practitioners, driven by curiosity and intellectual honesty, and a passion for solving the complex problems presented by financial markets.

The engine leverages Man Group’s unique collaboration with the University of Oxford, the Oxford-Man Institute of Quantitative Finance (OMI). The OMI conducts field-leading academic research into machine learning and data analytics, which can be applied to quantitative investing.

Founded in 1987, Man AHL’s funds under management were $63.8 billion at 31 March 2024. Further information can be found at .

The Team:

AHL Macro is the team responsible for Macro strategies. The team systematically trades liquid futures and FX at different frequencies, with holding periods ranging from monthly to intraday.

Technology and Business Skills:

• 4+ years of experience researching and live trading alpha signals for futures and FX
• Experience with intraday > monthly predictor design and analysis
• Experience with portfolio construction, risk analysis
• Strong understanding of transaction costs, and mitigation strategies
• Strong coding skills and experience of handling large data sets. We use Python and its scientific stack for both research and live trading

Personal Attributes:

• Strong academic record and a degree with high mathematical, statistical, and computing content e.g., Mathematics, Computer Science, Engineering, Economics or Physics from a leading university

• Hands-on attitude; willing to get involved with technology and projects across the firm

• Intellectually robust with a keenly analytic approach to problem solving

• Self-organised with the ability to effectively manage time across multiple projects and with contending business demands and priorities

• Strong interpersonal skills; able to build and maintain a close working relationship with quantitative researchers, technologist, traders and senior business stakeholders alike. Ability to mentor junior researchers

• Confident communicator: able to argue a point concisely and deal positively with conflicting views

Working Here:

AHL fosters a performance driven, meritocratic culture with a small company, no-attitude feel. It is flat structured, open, transparent, and collaborative, offering ample opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader research and academic community, as well as renowned industry contributors.

Inclusion, Work-Life Balance and Benefits at Man Group
You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at .

You’ll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you’ll receive two annual ‘Mankind’ days of paid leave for community volunteering.

Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.

Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Lead Java Developer

Business Unit: FTSE Russell - Index Platform
Company: London Stock Exchange Group (LSEG)

About the Role

We are seeking a highly skilled and hands - on Lead Java Engineer with AI proficiency to help build the next generation FTSE Russell Index Platform. This platform underpins the calculation and distribution of FTSE Russell’s global family of indexes and requires advanced engineering, high precision data processing, and deep collaboration across global teams.

This is a deeply technical role focused on designing, building, integrating, and operationalising modern software and AI driven capabilities across internal platforms and client facing products. You will work with innovative technologies, contribute to complex algorithmic design, and drive engineering excellence in a high performance , data intensive environment.

Key Responsibilities

Core Engineering & Platform Delivery

• Design, develop, and maintain complex Java and Python applications using modern engineering practices. Build / embed AI powered features into mission critical systems.

• Architect and enhance services that support large scale , performance critical index computations.

• Collaborate with Product Managers, UX, and engineering teams globally to deliver high quality products.

• Lead projects end - to - end through requirements, design, development, testing, deployment, and operations.

• Build and maintain automated test suites to ensure performance, scalability, and security.

• Diagnose production issues, identify root causes, and deliver Level 3 support and fixes.

• Conduct peer reviews, provide technical leadership, and mentor junior engineers.

Required Experience & Skills

• 12+ years of hands - on backend software engineering experience.

• Support the organisation’s AI adoption journey . Develop and enhance intelligent solutions using LLMs, LangChain / LangGraph , and agentic AI frameworks.

• Establish engineering best practices for safe, scalable, traceable and production ready AI deployments across internal platforms and external product suites.

• Strong algorithms, data structures, problem solving skills , and ability to translate business problems into scalable solutions.

• Good command of coding standards and Strong understanding of both high level and low level software design

• Expertise in:

• Core Java , Python

• Building highly distributed, data intensive systems

• Microservices, REST APIs

• RDBMS (Oracle/SQL Server/Postgres)

• CI/CD tools (Jenkins/GitLab), DevOps automation

• Docker, Kubernetes

• JVM profiling & performance optimisation

• Prior exposure to Level 3 production support.

Preferred / Nice-to-Have Skills

• Experience leading or mentoring a team of engineers .

• Experience within financial services or with financial market data.

• Familiarity with in - memory caching, Spring Boot, Redis, Kafka.

• Experience with BDD frameworks such as Cucumber, JBehave , or Karate.

• Experience running Agile teams.

What We’re Looking For

A proactive , creative engineering leader who enjoys solving complex problems, working hands - on with modern technologies, and driving AI enabled innovation. If you’re passionate about building resilient, intelligent, data intensive systems that power global financial markets, we’d love to hear from you.

Benefits

We are looking for intellectually curious people, passionate about the bigger picture of how technology industry is evolving, ready to ask difficult questions and deal with complicated scenarios! If you are creative and a problem solver, this is the place to be as will be supporting you to fast-forward your career!

We enhance each employee’s potential through personal development through a wide range of learning tools both formal and informal.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.

Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at

* As at 31 December 2025

The Team

This is an outstanding opportunity to join one of the largest alternative asset managers. Technology is central to Man’s business strategy, and we are constantly evolving to stay ahead. Our culture embraces change and innovation, with engineering at the heart of our operating platform.

We are seeking Software Engineers with deep expertise in C# and .NET to lead the design and development of mission-critical systems across our domain. You will play a key role in shaping technical strategy and driving architectural decisions within a high-performing team. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.

A great chance to collaborate, and learn alongside, highly skilled engineers whilst building up core financial and order management knowledge. New joiners will get the chance to work on the latest and best technologies for the challenges ahead.

Role Responsibilities

• Lead the end-to-end delivery of complex software solutions—from requirements gathering and architecture design to development, testing, and production deployments
• Own and drive long-term technical initiatives and architectural improvements across systems
• Collaborate closely with stakeholders to align technical solutions with business goals
• Champion engineering best practices, including CI/CD, automated testing, and scalable design patterns
• Conduct code reviews and provide technical guidance to peers and junior engineers
• Proactively identify and reduce technical debt, improve system resilience, and optimize performance
• Lead incident response and root cause analysis for production issues
• Contribute to the evolution of our engineering culture and platform strategy

Key Competencies

Essential

• 5–7+ years of professional experience in software engineering with C# and .NET
• Proven experience in architectural design, system scalability, and distributed systems
• Strong knowledge of Microsoft SQL Server, including schema design, query optimization, and performance tuning
• Embracing agentic engineering — willingness and ability to work effectively with AI -assisted development tools as part of daily workflow
• Ability to balance delivery of business value with long-term technical strategy
• Excellent communication and leadership skills, with the ability to influence and drive consensus
• Strong advocate for collaborative development practices and continuous improvement

Advantageous

• Experience with cloud platforms (e.g., Azure or AWS) and containerization (e.g., Docker, Kubernetes)

Inclusion, Work-Life Balance and Benefits at Man Group
You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at .

You’ll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you’ll receive two annual ‘Mankind’ days of paid leave for community volunteering.

Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.

Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

• Inside IR35 Contract - Up to £850 per day
• 3 Days per Week in London
• 6-Month Initial Contract (2 Years+ Project Scope)
• Start Date : April 2026

We are working alongside a leading Commodities Trading Firm who are searching for a Senior Data Engineer to join the business. You’ll be building pipelines to support their trading and analytics platforms!

Project & Responsibilities

• Design and develop scalable Python-based data pipelines using Dagster to ingest, transform and integrate datasets into the enterprise data platform.
• Build ingestion frameworks to extract data from internal systems, trading platforms, APIs, and external providers, supporting both batch and real-time data flows .
• Implement streaming data integrations using Apache Kafka to enable event-driven processing and near real-time analytics.
• Land and manage curated datasets within AWS storage environments, ensuring data integrity, scalability and cost efficiency.
• Apply strong data governance practices including validation, lineage tracking, schema consistency and secure access controls across the data platform.
• Ensure production stability and operational reliability of data pipelines through monitoring, alerting, logging and proactive incident management.
• Break down complex data integration initiatives into structured technical deliverables, defining implementation strategies and mitigating delivery risks.
• Provide engineering leadership through code reviews, CI/CD best practices, mentoring engineers and promoting scalable, maintainable data platform solutions.

Technical Skill Set Required

• Strong Python data engineering experience , including orchestration with Dagster , advanced SQL , and data modelling.
• Experience building streaming and event-driven pipelines using Apache Kafka and integrating heterogeneous data sources.
• Solid background operating cloud-native data platforms on Amazon Web Services , with CI/CD, version control and production operations experience.

Role Profile

As part of the LSEG AI , we are hiring a Senior Product Manager - AI Observability to own the strategy, design and rollout of telemetry systems that m onitor , m easure and a nalyse how AI models, MCPs, and AI-enabled features behave across all LSEG products.

This role is responsible for defining how we collect, structure, analyse and act on AI-specific telemetry signals-including prompt patterns, model performance, MCP call usage, latency, error conditions, cost metrics, user behaviour signals, and system reliability.

You will develop a telemetry foundation that supports:

• AI governance & risk

• model performance tracking

• cost efficiency

• user experience optimisation

• operational reliability

• auditability

• and the long-term evolution of our AI platform.

Key Responsibilities & Accountabilities

Telemetry & Observability Strategy

• Define the end-to-end telemetry vision and roadmap for LLMs, MCPs, vector stores, embeddings, inference layers and AI-powered user experiences.

• Establish a standardised telemetry schema for capturing prompts, tool calls, model responses, durations, errors, confidence signals, and quality indicators across business lines.

• Partner with platform engineering to ensure instrumentation is consistent, scalable and compliant.

Signal Design & Data Architecture

• Identify key signals required for:

• Quality & reliability

• Latency & throughput

• Cost tracking & optimisation

• MCP usage patterns

• User workflow insights

• Failure pattern detection

• Guardrail and safety event monitoring

• Define retention rules, PII considerations, anonymisation and usage policies in partnership with AI Governance and Compliance.

Platform & Tooling

• Own requirements for dashboards, monitoring tools, model comparison views, anomaly detection alerts, and performance scorecards.

• Design systems that allow product and engineering teams to self-serve insights about AI model behavior and MCP interactions.

• Partner with engineering to build pipelines that support real-time and batch analytics .

Cross-Functional Collaboration

• Collaborate with product owners across LSEG to instrument their AI features consistently.

• Partner with AI Evaluation PM ( previous role), Model Risk, GSSR, Legal and Compliance to align telemetry with governance frameworks.

• Work closely with Engineering and SRE teams to drive observability improvements and reliability engineering for AI systems.

Optimisation & Insights

• Identify cost inefficiencies across model and MCP usage, and drive recommendations to improve ROI.

• Surface workflow-level insights on how customers use AI features-informing product roadmaps.

• Partner with product leaders across divisions to understand how telemetry can improve customer experience, reliability and performance.

Governance & Standards

• Define and maintain AI telemetry standards and best practices across all LSEG divisions.

• Contribute to LSEG’s AI governance and Responsible AI initiatives by providing data-driven insights on model behavior and user impact.

• Ensure telemetry systems support auditability, compliance and explainability requirements.

Skills & Competencies

Required

• Experience in product management with a strong foundation in observability, telemetry, data platforms, monitoring, or SRE / DevOps-driven products .

• Understanding of LLMs, embeddings, vector search, MCP tools , and AI inference workflows.

• Deep familiarity with logging, tracing, metrics , and event-based telemetry systems.

• Ability to define data schemas, signal taxonomies, aggregation strategies and data contracts.

• Strong analytical skills and ability to derive insights from large-scale system telemetry.

• Experience working with senior engineering, data science, risk and governance stakeholders.

Preferred

• Exposure to financial data, analytics systems and enterprise-scale data workflows.

• Familiarity with BI tools, metrics stores, distributed tracing and monitoring stacks.

• Understanding of cloud infrastructure, serverless runtimes, API gateways and model hosting architectures.

• Ability to drive cross-functional alignment and establish group-wide standards.

Measures of Success

Platform Reliability & Performance

• Reduction in AI system error rates, latency spikes and operational incidents.

• Stability and transparency of MCP usage across product lines.

• Quality and coverage of telemetry signals across all AI-enabled products.

Insight Generation & Adoption

• Adoption of telemetry dashboards and self-service tools across divisions.

• Number of identified and resolved model or MCP reliability issues driven by telemetry.

• Level of insight generated to influence product prioritisation and AI model choices.

Operational Efficiency & Cost

• Improved cost transparency and cost-saving impact via telemetry-driven optimisation .

• Reduction in unnecessary model invocation or inefficient tool usage.

Governance & Compliance

• Contribution to Responsible AI frameworks through robust, auditable telemetry.

• Improved explainability and traceability of AI features for internal/external stakeholders.

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Who we are We are an energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge. At Dare, you will be joining a team of ambitious individuals who challenge themselves and each other. We have a culture of empowering exceptional people to become the best version of themselves. The Role As a C++ Quantitative Developer, you will play a critical role in developing and optimising our trading strategies and systems, enabling exchange market making and algorithmic trading. You will work closely with our trading desks to implement and enhance execution algorithms and ensure efficient connectivity to exchanges. Key responsibilities include: 1. Mid/low latency C++ development for the exchange connectivity FIX/MultiCast 2. Development of algorithmic strategies and market-making strategies C++ execution algorithms for trading desks (TWAP/VWAP, elements of Market Making) 3. Time series analysis, Market research in C++ / Python ​ What You’ll Bring 1. Strong C++ development skills (multithreading, inter-process communication, low latency, event-driven architecture design, modern C++ 20/23) 2. Develop and implement algo strategies in C++ 3. Experience in an algorithmic trading environment 4. Familiarity with FIX protocol and MultiCast 5. Experience with TWAP/VWAP algorithms 6. Python programming skills 7. Experience with Database connectivity (SQL, KDB) beneficial Benefits & perks 1. Competitive salary 2. Vitality health insurance and dental cover 3. 38 days of holiday (including bank holidays) 4. Pension scheme 5. Annual Bluecrest health checks 6. A personal learning & development budget of £5000 7. Free gym membership 8. Specsavers vouchers 9. Enhanced family leave 10. Cycle to Work scheme 11. Credited Deliveroo dinner account 12. Office massage therapy 13. Freshly served office breakfast twice a week 14. Fully stocked fridge and pantry 15. Social events and a games room Diversity matters We believe in a workplace where our people can fulfil their potential, whatever their background or whomever they are. We celebrate the breadth of experience and see this as critical to problem-solving and to Dare thriving as a business. Our culture rewards curiosity and drive, so the best ideas triumph and everyone here can make an impact. Please let us know ahead of the interview and testing processes if you require any reasonable adjustments or assistance during the application process. We’re also proud to be certified a ‘Great Place to Work’. Read more about our culture and what our team says about us here.

Are you an expert Data Science leader with experience shipping real AI products to customers? Do you want to build innovative solutions for financial professionals with teams of brilliant, collaborative data scientists, software engineers, UX researchers and product managers? If so, we’d love to talk to you!

The London Stock Exchange Group (LSEG) is a global leader in financial market infrastructure, with a large and diverse portfolio of data, products and services. LSEG’s Data & Analytics division has a long history of using classical machine learning (ML) techniques, and we’re also at the forefront of using GenerativeAI to build intuitive solutions that use the wealth of information in our documentation, datasets and APIs.

We’re looking for an exceptional leader to help build and scale an organization to deliver on this promise. You’ll solve customer problems using a combination of classical ML and GenAI technologies, delivering products that both delight our external customers, and help internal customers do their jobs effortlessly. We are not a PoC shop - we ship real products - so we’re looking for someone who delights in the messiness of shipping AI-first products.

To be successful in this role, you will need outstanding communication skills, a demonstrated ability to influence company-wide leadership, indirect leadership experience, and deep technical depth. You will have a proven history of being able to set, organize around and deliver on a strategic vision, while also having the technical skills to help your teams navigate science and architectural tradeoffs. This is a leader-of-leaders role, so you will have experience hiring, training and inspiring leaders who will help you be successful.

Key responsibilities:

• Define, drive agreement on, and execute on a strategic data science vision

• Hire and develop diverse and impactful data science leaders and teams, providing technical oversight and standardized training

• Provide technical mentorship and support while letting your team make key decisions and learn from their mistakes

• Work with Product Managers and Software Engineering leaders to define and iteratively deliver roadmaps

• Build a collaborative team environment

Qualifications:

• Master’s degree in Computer Science, Statistics, Mathematics or related field, or equivalent work experience

• At least 5years shipping machine learning models, ideally over the full product development lifecycle

• At least 2 years leading data science/machine learning teams indirectly (i.e., managing managers)

Role summary:

We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take hybrid approach to workplace, this role is Digital First.

As a global business, LSEG relies on diversity of culture and thought to deliver our goals. Therefore we seek hardworking, qualified employees in all our operations around the world-regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. LSEG is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace. LSEG makes reasonable accommodations for applicants and employees with disabilities. If an accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us to request an accommodation.

Career Stage:
Director

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Salary: up to £200k base + bonus

Summary

Leading HFT fund looking for a self-driven quantitative researcher to join their centralised Latency team where you will draw on your problem-solving skills and data science/statistics experience to analyse billions of collected trading data points and unearth competitive edges.

This role offers the opportunity to develop both business and technical expertise; working closely with trading teams to perform post-trade statistical analysis and identify relationships between business metrics and changes on the infrastructure technology. You’ll also investigate and design data mining and machine learning algorithms.

Unique in their field, this global firm combines the lively, positive spirit of a start-up with the stability of a longer-established player. This role would suit a curious, highly collaborative researcher who has demonstrated the ability to independently drive projects to completion.

Requirements

• Minimum 2+ years’ experience
• Hands-on programming experience in Python with a focus on data science & analytics
• Sound experience in Machine Learning and Statistics
• Outstanding problem-solving capabilities
• Bonus points for experience with C++, SQL and network protocols

NB: Please do not apply if you’re a fresh graduate.

Benefits

• Competitive base salary & bonus
• Enormous opportunity to grow, learn and have a significant business impact
• Contributions are rewarded; career progression supported
• Unique culture where you can fulfil your potential through collaboration and mutual respect

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you or you would like to know more, please get in touch:

Andy Stirling-Martin
andy@oxfordknight.co.uk
020 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946

My client is a leading diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. They value autonomy and the ability to quickly pivot to capture opportunities, so they operate using their own capital and trading at their own risk.

Headquartered in Chicago with offices throughout the US, Canada, Europe, and Asia, they trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. They have also leveraged their expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

Operating with respect, curiosity and open minds, the people who thrive here share the belief that it’s not just what you do that matters-it’s how you do it. This is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

As an AI Engineer, you will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to the business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance productivity, efficiency, and discover innovative paths to challenging business and technology problems. Surrounded by cutting-edge technology and experienced trading teams, you will have the opportunity to tackle fascinating new projects while becoming a subject-matter expert in a critical and innovative role.

Key Responsibilities:

• Drive end-to-end development of AI infrastructure and AI-driven applications: from initial proof-of-concept to production deployment and ongoing maintenance.
• Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases.
• Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability.
• Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments.
• Create and maintain feature pipelines, feature stores, and model stores.
• Develop frameworks to enable scalable, reproducible research.
• Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU resource usage.

Qualifications:

• Bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 3+ years of experience working with machine learning and artificial intelligence technology.
• Strong understanding of core machine learning and artificial intelligence concepts.
• Excellent programming skills in Python.
• Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models.
• Hands-on experience with MLOps and AIOps infrastructure and tooling.
• Proficient in problem-solving and analytical reasoning.
• Exceptional communication and collaboration skills.
• Experience with ML frameworks, such as TensorFlow, PyTorch, TensorRT, or ONNX.
• Experience with Large Language Models, including RAG and fine-tuning techniques.
• Familiarity with compute infrastructure necessary to support operating AI and ML technology.

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you, or you’d like more information, please get in touch:

George Hutchinson-Binks
george.hutchinson-binks@oxfordknight.co.uk
(+44) 07885 545220
linkedin.com/in/george-hutchinson-binks-a62a69252

Summary

Lively, positive spirit of a start-up, with the stability of a longer-established player. This leading quant firm has a fantastic opportunity on their centralised trading team where you will draw on your quantitative problem-solving skills and advanced statistical techniques to build and enhance market prediction models.

They are ideally looking for a platform engineer who has built and improved quant infrastructure.

This role is perfect for an experienced developer who can pull together all of their previous skills and expertise to lead, architect and create a platform designed to be a critical tool for this team both now and for many years in the future.

Technology is viewed as a crucial component of their continued success. The successful quant developer will be a self-starter, thrive under pressure and excel when given ownership of projects and responsibilities. Work is varied; example projects include:

• Investigate and design data mining and machine learning algorithms
• Research modeling and forecasting future price actions
• Develop and improve scalable quant research frameworks using Python and C++
• Serve as an advisor across a the business, providing new and innovative solutions

Requirements

• 3 - 8 years’ solid dev experience (in financial markets would be ideal)
• Strong C++, Python
• Experience building and improving quant infrastructure would be ideal
• Master’s or PhD in Mathematics, Statistics, Operations Research (or equivalent)

NB: Please do not apply if you are a fresh graduate.

Benefits

• Competitive base salary & bonus
• They’re willing to be flexible with WFH
• Enormous opportunity to grow and have an impact
• Contributions are rewarded; career progression supported
• Free breakfast, lunch and dinner

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you, or you’d like to know more, please get in touch:

Andy Stirling-Martin
andy@oxfordknight.co.uk
020 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946

About the Position

My client is a tech-centric prop trading fund, trading a wide range of financial products across the globe. Now looking for an engineer with robust experience in machine learning and strong mathematical foundations to join the growing ML team and to help drive the direction of the ML platform.

Machine learning is a critical pillar of the fund’s global business. The ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing new ideas to be incorporated with relatively little friction. The ML team is full of people with a shared love for the craft of software engineering, and for designing APIs and systems that are delightful to use.

You’ll draw on your in-depth knowledge of the ML ecosystem and understanding of varying approaches - whether it’s neural networks, random forests, gradient-boosted trees, or sophisticated ensemble methods - to aid decision-making so that the right tool is applied for the problem at hand. Your work will also focus on enhancing research workflows to tighten feedback cycles. Successful ML engineers will be able to understand the mechanics behind various modeling techniques, while also being able to break down the mathematics behind them.

If you’ve never thought about a career in finance, you’re in good company. Many of the employees were in the same position before working at this firm. While there isn’t a fixed list of qualifications they’re looking for, if you have a curious mind and a passion for solving interesting problems, you’ll almost certainly fit right in.

Requirements:

• Experience building and maintaining training and inference infrastructure, with an understanding of what it takes to move from concept to production
• A strong mathematical background; good candidates will be excited about things like optimization theory, regularization techniques, linear algebra, and the like
• A passion for keeping up with the state of the art, whether that means diving into academic papers, experimenting with the latest hardware, or reading the source of a new machine learning package
• A proven ability to create and maintain an organized research codebase that produces robust, reproducible results while maintaining ease of use
• Expertise wrangling an ML framework - they’re fans of PyTorch, but they’d also love to learn what you know about Jax, TensorFlow, or others
• An inventive approach and the willingness to ask hard questions about whether the right approaches are being taken and the right tools being used
• Fluency in English

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you, or you’d like more information, please get in touch:

George Hutchinson-Binks
george.hutchinson-binks@oxfordknight.co.uk
(+44) 07885 545220
linkedin.com/in/george-hutchinson-binks-a62a69252

Job Title: Python Data Engineer (Greenfield Build)
Location: Central London (Hybrid - 3 days in office / 2 days remote)
Contract: 12-month Fixed-Term Contract (with benefits + 10% year-end bonus)

Overview

We are working with a leading financial services organisation to hire two Python-focused Data Engineers to support a major greenfield data transformation programme within its Investments and Finance functions.

These roles will sit across Shared Services, working closely with senior investment leadership and cross-functional stakeholders to design and build a consolidated data platform from scratch.

The Opportunity

This is a rare opportunity to join a ground-up build of a strategic data solution. The successful candidates will play a key role in replacing manual data processes with an automated, scalable Python-based architecture, enabling more accurate and consistent investment reporting across the business.

The first phase of the programme will focus heavily on hands-on development, followed by broader collaboration, stakeholder engagement, and transition into business-as-usual operations.

Key Responsibilities

• Build a consolidated data platform from scratch using Python
• Automate existing manual data processes across investment and finance data sets
• Design and implement scalable data solutions to improve reporting accuracy and consistency
• Work closely with senior stakeholders across Investments and Finance
• Collaborate with cross-functional teams to embed and operationalise the solution
• Support knowledge transfer and handover into BAU
• Adapt to shifting priorities in a fast-paced environment

Technical Skills Required

Essential:

• Strong expertise in Python (this is the core requirement)
• Experience in data analytics and data manipulation
• Ability to work with complex, multi-source datasets

Desirable:

• Exposure to AI tooling or applied data science techniques
• Experience with Snowflake
• Experience with Databricks (Not essential)

Candidate Profile

• Strong Python engineer with a data-focused background
• Comfortable working in greenfield / build-from-scratch environments
• Strong stakeholder management and communication skills
• Able to work across business and technical teams
• Agile and adaptable to changing business priorities
• Industry background is flexible (financial services experience not essential)

Relocation Opportunities - Singapore, Hong Kong, Sydney

We’re partnered with several leading funds that are offering relocation packages for candidates with Industry experience.

Data Engineer - Quantitative Research Environment

Overview

An elite trading and research firm is seeking a skilled technologist to join a collaborative team supporting the data-driven backbone of a world-class quantitative investment strategy.

This is a unique opportunity to design, build, and maintain critical research and data infrastructure that empowers traders, data scientists, and quantitative researchers across the business.

What You’ll Do

• Own and manage large-scale, high-value datasets from acquisition through to integration in quantitative pipelines.
• Architect and automate robust data workflows, including extraction, cleaning, validation, and transformation.
• Collaborate closely with quant researchers to translate analytical needs into efficient, scalable data systems.
• Build monitoring tools to detect anomalies and maintain data integrity across petabyte-scale systems.
• Contribute to a cutting-edge research platform that enables backtesting, simulation, and strategy development.
• Improve data storage and retention efficiency using distributed systems and performance-optimised formats.
• Troubleshoot complex technical issues across multiple layers, including low-level market data handling and high-level research tooling.

What We’re Looking For

• Strong programming capabilities in Python and/or C++ (familiarity with Java is a bonus)
• Experience handling large datasets, structured and unstructured, ideally within financial markets or other high-throughput environments.
• Hands-on exposure to data engineering tools (e.g. ETL frameworks, schedulers, CI/CD pipelines, DBT).
• Working knowledge of distributed storage and compute systems.
• Understanding of time-series data and techniques used in quantitative modelling or forecasting.
• Ability to work in Linux/Unix environments with solid command-line proficiency.
• Analytical thinker with strong communication skills and the drive to work across teams.
• Degree in Computer Science, Engineering, Mathematics, or related field.

Why Join?

• Work in a high-performance environment where your contributions directly influence trading outcomes.
• Collaborate with talented engineers and researchers solving real-time and large-scale data challenges.
• Leverage the latest in cloud computing, automation, and software development practices.
• Be part of a lean, impactful team trusted with building core systems from the ground up.

Compensation: Competitive (Financial Services)

About TradingHub

Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation.

With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk.

The Role

We are seeking a Quantitative Developer to help design, build, and validate the models that power our industry-leading market surveillance and analytics products. As part of our metrics division, you’ll collaborate with a team of engineers and quants to create and deploy market abuse metrics and detection algorithms.

The successful candidate will combine excellent mathematical skills with the proven ability to engineer high-quality software in a practical setting.

Responsibilities:

• Development of sophisticated pattern-detection algorithms to be utilised across all of TradingHub’s product offerings
• Research and development of broad models of market dynamics across multiple asset classes
• Prototyping, testing, and validation of TradingHub’s proprietary mathematical/statistical models
• Use of in-house big data language for the large-scale pricing and analysis of security and risk data
• Implementation and optimisation of the core algorithms used by TradingHub to perform deep analysis of financial data
• Requirements

Requirements

• Proficiency with C#, C++ or Python
• Evidence of exceptional mathematical and analytical skills
• Initial industry experience working as a quant within a financial services organisation
• Some knowledge of risk sensitivities or “Greeks” such as Delta, Gamma, DV01 etc.
• Understanding of derivatives (e.g. swaps, options, futures)
• Confidence to experiment with new ideas and technologies
• Keen to work in a fast-paced environment

Benefits

Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success.

Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self.

Employee Benefits:

• Annual discretionary performance bonus (permanent employees only)
• Hybrid working policy
• Office lunches twice a week
• Private medical insurance + dental cover
• Extended parental leave (up to 6 months of fully paid maternity leave)
• 25 days annual leave + bank holidays
• Enhanced company pension plan
• 5 days study leave towards professional qualifications
• Salary sacrifice schemes
• Death in service coverage

Don’t tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don’t let our specification hold you back. Get in touch!

TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications.

We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.

Senior Software Engineer – Data Engineering

Contract duration:- 6 months initially (with extension available for the right person)

Location:- London EC4

Hybrid working:3 days per week in office + 2 days WFH

Rate: £650 inside IR35

Join our Data Engineering team at the heart of a quantitative investment firm, powering the infrastructure which drives our systematic trading strategies and cutting-edge discretionary research. You’ll help architect a multi-petabyte scale estate, processing billions of datapoints daily from thousands of data sources. Our stack combines Java and Python, with foundations of Kafka, ArcticDB, MongoDB, and more.

What you bring to the role

• Experience working with large scale messaging and downsampling solutions
• Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics
• 5-7 years of professional experience in software engineering with Java or Python as your primary language and knowledge of both
• Proficient on Linux platforms and strong understanding of Git
• Deep knowledge of one or more relevant database technologies such as Iceberg, Postgres, or MongoDB
• Strong problem-solving skills and attention to detail
• Strong communication and collaboration abilities
• Ability to work independently and gather requirements from stakeholders

Advantageous to have

• Familiarity with distributed systems and orchestration

• Experience with performance optimization and large-scale data processing

• Contributions to open-source projects

• Experience working with Large Language Models (LLMs)

ABOUT US:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

OUR PEOPLE:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers!!

ROLE SUMMARY:

LSEG has embarked on a significant programme of work as part of the Engineering Strategy, to significantly improve the efficiency and effectiveness of Architecture Governance processes. The role will apply technology including AI, to streamline processes and ensure high levels of design quality.

The role would suit an individual with a strong technical Engineering and/or Architecture background with an interest in the hands on delivery of technology to tackle complex business problems.

Engineering Governance provides a critical a function and this role presents an important opportunity to help define, build and operate the next generation of LSEG governance to deliver on the Engineering Strategy and maintain LSEG’s position as a leading provider of solutions to the financial industry.

WHAT YOU’LL BE DOING:

• Defining engineering governance processes to ensure the efficient and effective implementation of architecture governance.
• Ensuring LSEG Products adhere to best practice and LSEG standards.
• Building the new governance processes using AI and low/no code environment i.e. Microsoft PowerApps and providing support collateral.
• Operating the resulting processes including tooling support, providing training courses, running CIO and Group Level ARB forums with senior engineering leaders, assembling outcomes and actions.
• Promoting Engineering governance and quality standards across the Enterprise

WHAT YOU’LL BRING:

• A willingness to actively explore emerging technologies and techniques to enhance Engineering Governance capabilities including the application of AI.
• A strong background in software engineering and/or Architecture.
• Experience of PowerApps development.
• Strong analytical skill and a proactive approach to solving complex challenges, testing assumptions, and learning from outcomes.
• Effective communication and stakeholder leadership skills, with the ability to engage both technical and non-technical audiences.
• An ability to respond quickly to operational issues and a willingness to seek feedback to improve how we work.

COMPETENCIES:

• Degree (or equivalent) and/or relevant professional qualification.
• Understanding of Engineering and Technology Architecture.
• Strong interpersonal and communication skills, able to communicate at all levels to deliver goals as part of a team.
• Excellent verbal and written communication skills: able to engage effectively with both technical and non-technical audiences.
• Ability to collaborate across architecture, engineering, and governance teams.
• A pragmatic and delivery-focused approach.
• Comfortable working in a fast-moving environment.

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

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