Forvis Mazars is a leading global professional services network providing audit & assurance, tax, and advisory services. Forvis Mazars in the UK spans 14 offices across the nation and has over 3,400 professionals, with 190 partners. We have a clear purpose and a shared commitment to shape a better future.

You’ll join a collaborative and inclusive team where you’re supported to grow your skills, explore new opportunities, and contribute from day one. You’ll work with a diverse client base, develop meaningful connections, and gain experience that extends beyond your local team. Together, we grow , belong and impact .

Market Risk / CCR Quant Analyst - AVP/VP Level - Consultancy

We are seeking an experienced Senior Consultant, Manager OR Associate Director (AVP to VP Level) to join our Market Risk advisory practice, focused on delivering innovative quantitative solutions to clients. In this role, you will leverage your deep quantitative expertise to advise clients on risk measurement, modelling, and regulatory compliance, contributing directly to their strategic decision-making progress.

Responsibilities

• Lead small and large multidisciplinary engagements and manage client relationships, provide advanced quantitative analysis and modelling to address complex market risk challenges
• Develop, validate, and implement quantitative risk models (including cVaR, CCR and xVA)
• Provide thought leadership in quantitative methodologies, regulatory requirements (e.g. Basel III/IV, FRTB), derivatives pricing techniques, and industry best practices
• Lead project teams, mentor and supervise junior team members, and ensure high-quality delivery
• Support business development initiatives, including identifying new opportunities and developing proposals

What are we looking for?

• Minimum of 3-8 years of relevant experience in quantitative modelling, market risk management, derivatives pricing, or risk advisory within financial services
• Demonstrated experience in one or more of the following areas: derivatives pricing, stochastic modelling techniques, statistical methods including AI/ML, and programming (e.g. Python, R, C++)
• Excellent analytical and problem-solving skills with the ability to translate complex quantitative concepts clearly to non-technical stakeholders

What we offer?

• A dynamic, collaborative, inclusive work environment
• Opportunities to work with leading global financial institutions on challenging and impactful projects
• Continuous professional development with tailored training and mentorship

Diversity, Equity & Inclusion

At Forvis Mazars diversity, equity and inclusion are central to our values. We value our people’s unique backgrounds, perspectives, and experience, and know this diversity create better outcomes for our clients.

We seek to attract, develop, and retain the best talent, inclusive of sex, ethnicity, disability, socio-economic background, sexual orientation, gender identity, nationality, and faith.

We select candidates based on skills, knowledge, qualifications, and experience and aim to support all our team members to reach their potential.

At Forvis Mazars, we promote an environment in which you can grow your skills, belong to a team that values your ideas, and make an impact that matters.

Are you ready to start a new career in Data Analysis?

The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.

In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.

With our Data Analytics career programme we will provide you with:

• 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals
• 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals
• 100+ hours of live instructor-led online classroom training
• Real-world Data Analyst project work & live labs to boost your CV
• Exam & interview preparation
• Job Guarantee with a salary up to £35,000

Course cost - £2495, or, £207.91 per month

We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.

No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.

Click 'Apply Now’ to begin your new data career!

Are you ready to start a new career in AI Engineering? AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today’s digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you’re new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One: Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies. We also provide two digital badges: CompTIA AI Essentials and CompTIA AI Prompting Essentials. Step Two: Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals, CompTIA Data+ and CompTIA Data AI Step Three: Now that you’re qualified for an entry-level AI or data position paying up to £35,000 per year. Our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. Course cost - £2295, or, £191.25 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click ‘Apply Now’ to begin your new career!

Are you ready to start a new career in Data Analysis?

The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.

In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.

With our Data Analytics career programme we will provide you with:

• 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals
• 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals
• 100+ hours of live instructor-led online classroom training
• Real-world Data Analyst project work & live labs to boost your CV
• Exam & interview preparation
• Job Guarantee with a salary up to £35,000

Course cost - £2495, or, £207.91 per month

We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.

No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.

Click 'Apply Now’ to begin your new data career!

Are you ready to start a new career in AI Engineering? AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today’s digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you’re new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One: Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies. We also provide two digital badges: CompTIA AI Essentials and CompTIA AI Prompting Essentials. Step Two: Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals, CompTIA Data+ and CompTIA Data AI Step Three: Now that you’re qualified for an entry-level AI or data position paying up to £35,000 per year. Our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. Course cost - £2295, or, £191.25 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click ‘Apply Now’ to begin your new career!

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts.

If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science.

We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science.

Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles.

Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners.

Current average salaries in the sector for lower-level positions and fully trained Data Experts:

• Junior Data Analyst - £30,000
• Data Analyst - £50,000
• Business Analysts - £60,000
• Data Scientist - £65,000

Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science.

Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector.

Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.

Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks.

Step 1 - Data Administration Training

Data is extracted using various method which are normally IT driven.

We provide you with access to the following courses to ensure you are employable as a data analyst.

• Microsoft excel - to expert level.
• Learn SQL - the programming language used for extracting data from more complex databases.
• Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.
• Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam.

Step 2 - CompTIA Data+ Qualification

The first step is completing the CompTIA Data+ Qualification accredited by CompTIA.

This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.

Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam.

The course is online and comes complete with exam simulators and revision tools.

You will have access to a tutor and a 1-hour online revision workshop prior to your exam.

This qualification sets you on course to becoming a data analyst.

Step 3 - Business Analysis Foundation

Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.

A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS.

Study time is around 15 hours, and qualification is achieved by online exam.

Step 4 - Recruitment Support

Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience.

We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot.

Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role.

They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need.

Step 5 - CompTIA Data X Qualification

Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist.

This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately.

Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level.

Our money back guarantee

If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.

However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.

Check out our testimonials.

What Now?

To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.

Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Are you looking to benefit from a new career in Data Analysis?

If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst

We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.

Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles.

Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners.

Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts:

• Junior Data Analyst - £30,000
• Data Analyst - £50,000
• Business Data Analyst - £67,500
• Data Analytics Analyst - £80,000
• Business Analysts - £60,000

Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.

The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.

Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.

Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.

Step 1 - CompTIA Data+ Qualification

The first step is completing the CompTIA Data+ Qualification accredited by CompTIA.

This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.

Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.

The course is provided online and comes complete with exam simulators and revision tools.

You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.

This qualification will set you on a route to becoming a data analyst.

Step 2 - Data Administration Training

Data is extracted using various method which are normally IT driven.

Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst.

• Microsoft excel - to expert level.
• Learn SQL - the programming language used for extracting data from more complex databases.
• Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.
• Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.

Step 3 - Business Analysis Foundation

Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.

Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).

Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.

Step 4 - Recruitment Support

Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have.

We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.

Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.

They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.

Our money back guarantee

If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.

However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.

Check our testimonials from the hundreds of candidates we have already helped.

What Now?

To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.

Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Excellent opportunity for a Quantitative Analyst who is passionate about sports to join an excellent client’s team based in central London. The successful Quantitative Analyst will join a very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers.
The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial.

This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment.

Skills required:

• Proficient in several of the following: Python, C#, C++, Java
• Mathematical Modelling
• Mathematical skills, particularly a keen understanding of probabilities and statistics
• Analytic mindset
• Strong communication skills
• Accuracy and attention to detail
• Experience in data science
• An interest in sports - Ideally football or cricket

If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (url removed)

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Responsibilities

• Research and analyse trading outcomes to assess effectiveness of execution strategies
• Build and refine quantitative models to improve algorithmic trading performance
• Implement elements of trading logic in Python and work closely with engineering teams
• Partner with clients to explain model behaviour, review performance and gather feedback
• Support clients in an execution consulting capacity to optimise use of trading products

Key Skills & Experience

• Strong quantitative mindset with passion for data and research
• Strong Python development skills (Java exposure beneficial but not core)
• Experience with electronic trading strategies and market microstructure
• Knowledge of European equities markets
• Exposure to distributed systems and large-scale data analysis desirable
• Excellent communication skills; able to work with global teams and clients
• High-frequency trading experience advantageous

Permanent role - Central London based - hybrid working

By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you.

Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

Are you ready to start a new career in AI Engineering? AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today's digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you're new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications, all alongside real-world project work to harness the power and understanding of these technologies. We also provide two digital badges: CompTIA AI Essentials and CompTIA AI Prompting Essentials. Step Two Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals, CompTIA Data+ and CompTIA Data AI. Step Three Now that you're qualified for an entry-level AI or data position paying up to £35,000 per year, our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. Course cost £2295, or, £191.25 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - no matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click 'Apply Now' to begin your new career!

Principal Data Consultant A dynamic, leading boutique data strategy consultancy is seeking a Principal Data Consultant for an immediate start. This is a fantastic opportunity to work on interesting and complex data strategy and transformation projects. You will engage with a wide variety of clients, from large enterprises and small start-ups to niche charities, taking ownership of projects across the full lifecycle. The Role
In this client-facing Principal Data Consultant role, you will lead and drive high-impact strategic data initiatives for clients. You will work across, and lead, a range of client projects spanning data governance, data strategy development, data maturity assessments, and data literacy initiatives, alongside more technical data and analytics projects. On a day-to-day basis, you will act as the client’s primary point of contact, lead workshops with senior stakeholders, define scope of work, and manage project plans. You will also mentor and guide more junior team members when required. In addition, you will have the opportunity to apply your hands-on data skills, whether through coding, supporting data migrations, or assisting with data integration. This is a varied and engaging role that will draw on your broad and deep knowledge of data to help solve complex client problems and deliver meaningful outcomes. This role requires a hands-on doer, not just a ‘thought leader’. What do you need?
To be considered, you will have a strong background in managing and delivering complex and/or strategic data projects across the full lifecycle. Ideally, you will have experience within a client-facing consultancy environment and be able to evidence success across strategy, advisory and solution delivery engagements. You will have experience creating data strategies and be highly familiar with data maturity assessments, data vision development, use case and value mapping, data governance and data literacy programmes. From a technical perspective, you will bring exposure to, or experience in, designing, building and configuring end-to-end analytics solutions. This includes writing basic code (for example SQL or Python), data modelling, data migration, and an understanding of general IT architecture and systems integration. Strong documentation skills are also essential. You will bring a genuine passion for data, along with excellent communication and presentation skills up to CxO level. You will be comfortable building trusted advisor relationships. Commercial exposure to developing and delivering proposals, presentations or bids is desirable. You must also be a self-starter who can take ownership of projects and lead teams to achieve agreed goals and objectives. What is on offer?
This is a hybrid role offering a high degree of flexibility, with remote working alongside office attendance in London Bridge one to two days per week for collaboration. There may also be occasional visits to client sites and the group HQ in Surrey. The role offers a competitive salary, depending on experience, in the range of £70,000 to £80,000, plus an annual bonus of approximately £6,000 to £10,000 (paid quarterly). Additional benefits include private medical insurance, a contributory matched pension up to 5%, 25 days’ holiday, and mobile phone allowance. If you are a Principal Data Consultant seeking an exciting new challenge, or a Senior Data Consultant ready to step up, apply now. Interviews are taking place immediately with an immediate start available

A high-growth institutional trading business in the digital assets market is expanding its London team and hiring a Quant Developer to join its OTC pricing function. This is a great opportunity to join a successful firm adding headcount as it continues to grow, and to work on highly visible quantitative systems that sit at the core of pricing, hedging and liquidity decisions. The role offers a rare blend of quantitative research partnership and hands-on production engineering, making it ideal for someone who enjoys solving real market problems in a fast-paced trading environment.

THE ROLE: Quant Developer OTC Pricing

This is a senior-level quant development role within the OTC pricing team, focused on turning quantitative ideas into robust, production-grade trading and pricing solutions. The successful candidate will work very closely with quantitative researchers, contributing not only to implementation but also to the design and refinement of pricing and liquidity models.

The role combines research-oriented modelling in Python with production engineering in Java. You will use Python to analyse data, test ideas and support model development, while using Java to build and enhance high-performance pricing infrastructure used in a live, global trading environment.

You will be involved in the development of pricing logic, flow analysis, spread optimisation and automated hedging tools. The role also includes working on distributed systems challenges in a 24/7 multi-region environment, where reliability, consistency and performance are critical. This is a high-impact position for someone who enjoys applying quantitative thinking to real trading and pricing problems at scale.

KEY RESPONSIBILITIES: Quant Developer OTC Pricing

• Build and enhance quantitative pricing, hedging and optimisation models within a high-performance Java framework
• Work alongside quantitative researchers to analyse large datasets and translate research into production-ready solutions
• Use Python for model prototyping, data analysis, signal investigation and backtesting activity
• Develop and improve pricing skew, spread and liquidity optimisation logic
• Design and implement automated hedging strategies, taking into account execution risk, liquidity and market impact
• Support pricing system deployment across distributed, multi-region architecture with a focus on uptime and consistency
• Analyse client trading behaviour, including flow quality, decay and pricing performance, to support more effective pricing decisions
• Contribute to the ongoing evolution of tools and systems used in a live institutional trading environment

REQUIRED - SKILLS/EXPERIENCE: Quant Developer OTC Pricing

• Strong Java development experience, ideally 5+ years
• Deep understanding of object-oriented design, concurrency, and high-performance distributed systems
• Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping
• Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related problems
• Prior experience in client pricing, electronic trading, or a closely related quantitative trading environment
• Exposure to liquid markets such as FX, equities, ETFs or crypto
• Strong academic background in a quantitative discipline such as Mathematics, Physics or Quantitative Finance
• Ability to operate effectively in a role that bridges quantitative modelling and production engineering

DESIRABLE - SKILLS/EXPERIENCE: Quant Developer OTC Pricing

• Familiarity with low-latency system optimisation, such as GC tuning or tools/frameworks used in high-performance messaging environments
• Understanding of derivatives pricing and risk management, particularly across products such as futures, forwards, NDFs and CFDs
• KDB+/Q
• Exposure to AWS, Docker and Kubernetes

Why Greencore?
Following the combination with Bakkavor in January 2026, we’re one of the UK’s leading creators of convenience food, driven by a simple purpose: to make everyday taste better.
As a vibrant and fast-moving business, we’re proud to employ over 28,000 talented colleagues across 36 manufacturing sites and 21 distribution depots in the UK and the US. Together, we bring delicious food to life. Our products cover every meal occasion from breakfast through to dinner and dessert, with lunch and snacking in between. In FY25, our shared passion helped us achieve combined revenues of approximately 4bn.
Our extensive direct to store (DTS) network, with 17 depots across the UK, allows us to deliver fresh and frozen food both our own and from trusted partners to thousands of stores every day, ensuring consumers enjoy the very best, whenever and wherever they shop.
Role Purpose
To deliver robust, accurate, and well-governed sustainability data that supports Greencore’s sustainability strategy, reporting, and decision-making. The role ensures strong data integrity, effective systems and processes, and high-quality analysis to enable reliable internal and external reporting and longer-term modelling

Key Accountabilties

• Implement and maintain a sustainability data governance framework, ensuring effective procedures for data integrity and robust internal and external reporting .
• Maintain clear documentation of sustainability data processes, methodologies, and controls
• Work with, and where appropriate develop, systems and tools to collect, analyse, and report sustainability data from multiple sources
• Conduct robust quality checks to ensure accuracy, consistency, and reliability of sustainability data
• Consolidate sustainability data from multiple sources into clear, usable formats to support the wider Sustainability team and stakeholders and as a key input into external sustainability (mandatory and voluntary) reporting
• Liaise with internal and external auditors to support sustainability assessments and reviews
• Prepare sustainability data and supporting evidence for internal and external assurance processes.
• Prepare data and responses for disclosure requests such as CDP, EcoVadis, Manufacture 2030/Secaro and ad hoc customer specific questionnaires
• Prepare data for monthly reporting of the sustainability metrics including Remuneration objectives
• Prepare data for governance forums including visuals and tables and maintain agreed glidepaths

What we’re looking for
Essential

• Strong data analysis skills with the ability to generate insight from complex data sets
• Extensive understanding of data tools, systems, and software to consolidate, analyse, and present data in useful formats
• Experience implementing strong data governance processes (e.g. working with audit/assurance)
• High attention to detail with a structured and analytical approach
• Ability to work collaboratively across functions

Desirable

• Finance background
• Experience working with sustainability or ESG data Experience supporting external/third-party audit or assurance processes

We’re not all the same at Greencore and our differences help us to make every day taste better for all our stakeholders. We truly put our people at the core and are proud of our diversity.

If this sounds like you join us, grow with Greencore and be a part of driving our future success.

What you’ll get in return:

• Competitive salary and job-related benefits
• 25 days Holiday
• Competitive matched pension contributions
• Company share save scheme
• Greencore Qualifications
• Exclusive Greencore employee discount platform
• Access to a full Wellbeing Centre platform

Based in Broxbourne, Hertfordshire
Permanent, full-time, 37 hours per week
Salary: £46,631 - £51,813 per annum We have an exciting opportunity for a data analyst with strong Power BI and SQL skills, experience in reporting, and the ability to translate complex data into meaningful business insight. In this role, you’ll play a central part in how we understand and improve our performance, developing a suite of dashboards and reports across the organisation. Working closely with senior leaders and the wider data team, you’ll move the business beyond simply reporting on what has happened, helping to uncover why it happened and what actions should come next. You’ll design and deliver scalable, high-quality reporting solutions, transitioning legacy processes into robust Power BI products, while ensuring consistency, accuracy and strategic alignment across all data outputs. We’re looking for someone with… - Experience in data analysis and reporting roles

• Proficiency in Power BI, including data modelling and DAX, or other data visualisation tools
• Solid SQL skills for querying and transforming data
• Knowledge of SSRS or Power BI Paginated reports
• The ability to extract and refactor logic from legacy reports
• An understanding of data product principles and scalable reporting design
• Strong business acumen and the ability to translate data into insight
• Confidence in presenting insights to nontechnical audiences We’re a social business, based in Turnford and across southeast Hertfordshire, helping local people by renting or selling affordable homes. We offer services designed to help our customers live comfortably in their homes, and we work to keep our buildings and estates maintained, offering support when money becomes an issue or when people get older. Our mission is to make a sustainable, positive change to the housing crisis for our customers and communities. We enjoy a benefits package that offers something for everyone, including… - 27 days’ holiday per year plus bank holidays (pro rata for part-time colleagues).
• Buy and sell holiday scheme.
• Cross-organisational bonus scheme.
• Up to 12% pension contribution.
• Life assurance cover.
• Funded health cash plan or subsidised private medical insurance.
• Discount vouchers.
• Enhanced family leave.
• Range of special leave.
• Car loans, cycle to work and electric car lease scheme. The closing date for this vacancy is 26th April 2026. We are a Disability Confident employer, which means that we offer an interview to a fair and proportionate number of disabled applicants who meet the minimum selection criteria for the job. Other organisations may call this role Business Intelligence Analyst, BI Analyst, Reporting Analyst, Data and Reporting Analyst, Performance Analyst, Data Insights Analyst, Power BI Analyst, or Data and Analytics Analyst. We’re committed to building an inclusive workplace where equity, diversity and inclusion are part of our culture, as we recognise the benefits of a diverse workforce. Our 3-year EDI strategy outlines how we’ll achieve this. We strongly welcome applications from underrepresented groups and groups which are identified as a priority within our strategy, including LGBTQIA+, Black, Asian and Minority Ethnic communities, applicants with disabilities and people under 30. We understand that some candidates, particularly from certain groups, may hesitate to apply unless they meet every requirement. While we’re looking for people with the right skills and experience, we also value diverse backgrounds and transferable skills. If you meet most of the criteria and believe you’d thrive in the role, we encourage you to apply. All our vacancies are open to flexible working arrangements, something we are really proud of. The extent to which flexible working is possible will vary between jobs according to the needs of the business and our customers. So, if you’re ready to make a difference as a Data Analyst, please apply via the button shown. This vacancy is being advertised by Webrecruit. The services advertised by Webrecruit are those of an Employment Agency

I am recruiting for a Data Scientist to work on a hybrid basis - 2-3 days in London, remaining time remote. The role falls inside IR35 so you will be required to work through an umbrella company for the duration of the contract. This role will move into a permanent position after the 6 months so please only apply if this is suitable for you. I am recruiting for a Data Scientist / ML engineer with several years of experience. You will have experience of driving new data insights to uncover business opportunities & revenue streams, have a firm understanding of statistics and data visualisation for communication and also have an understanding of business growth areas & how to utilise important data. Experience of supporting data science projects in a consulting environment is essential for this role. You must have a number of years of experience participating in projects that focused on some of the following - Predictive Analytics, Data Design, Statistics, AI/ML or ML Ops. You must have experience of using Python and/or R to analyse disparate data sets. Experience of Gen AI / LLM hands on development is preferred. Please apply ASAP to find out more.

£Up to £65,000 GBP
Competitive Bonus
Hybrid WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent

Senior Data Scientist
Join a high-impact AI and data science consultancy recognised for delivering exceptional outcomes across National Security, Defence, Space, and government sectors. This is a unique opportunity to work on cutting-edge AI and machine learning projects that make a tangible difference in the UK, supporting critical national security initiatives.

As a Senior Data Scientist, you will tackle some of the most complex data challenges, applying advanced AI and machine learning to real-world problems. You will work in a consultative, hands-on role, collaborating with clients and internal teams to design, build, and deploy impactful AI solutions.

Due to the sensitive nature of this work, candidates must be willing to undergo DV (Developed Vetting) security clearance, be sole British nationals, and have not spent more than 29 consecutive days outside the UK in the last 5 years. Please note that this role does not provide visa sponsorship and is not open to applicants on Skilled Worker or Dependent visas.

This role offers the opportunity to deliver real-world impact, working with diverse data types - including text, images, audio, video, graphs, and geolocation - while applying cutting-edge methods in AI, machine learning, and statistics.

You’ll have the opportunity to:

• Work alongside leading data scientists, AI researchers, and engineers on national security projects
• Deliver AI-enabled, data-driven solutions across government, defence, and space sectors
• Explore and implement machine learning models on complex, multi-modal datasets
• Influence technical direction and best practice in AI, ML, and statistics
• Mentor and support junior data scientists and graduates
• Engage directly with clients to scope, design, and deliver scientifically-justified solutions

Key Responsibilities:

• Act as a technical lead and trusted advisor for AI and data science expertise across projects and bids
• Lead and contribute to AI and ML projects, collaborating with ML engineers, project managers, and non-technical stakeholders
• Meet with clients to understand their challenges, scope projects, and plan delivery of AI solutions
• Support the deployment of machine learning models into production using cloud-based platforms
• Research and evaluate novel AI methods to deliver innovative, high-quality solutions
• Present complex technical findings to both technical and non-technical audiences
• Mentor and guide junior team members and graduates
• Promote AI and data science knowledge across client engagements through workshops, events, and publications

Key Requirements:

• Willingness to undergo DV (Developed Vetting) security clearance
• Sole British national with no more than 29 consecutive days outside the UK in the last 5 years
• Proven experience as a Senior Data Scientist or equivalent role
• Strong expertise in AI, machine learning, and statistical methods
• Proficiency in Python and ML/data analysis libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers, statsmodels)
• Experience with cloud-based ML deployment (e.g., AWS services)
• Ability to absorb complex scientific concepts and apply them to real-world problems
• Strong communication skills, capable of explaining technical concepts to both technical and non-technical stakeholders
• Curiosity, adaptability, and a desire to deliver real-world impact

You will gain exposure to:

• Advanced AI, ML, and statistical methods applied to national security challenges
• Deployment of ML models at scale in cloud environments
• A broad range of data types, including text, images, audio, video, and geospatial data
• Ethical, privacy, and security considerations in AI/ML applications
• High-impact projects with government and defence clients
• Mentorship and development opportunities within a diverse, innovative environment

Why Join:

• Work on high-impact projects that directly support national security
• Gain deep exposure to cutting-edge AI, ML, and data science technologies
• Accelerate your career in a supportive, high-performance consultancy
• Be part of a culture that values innovation, collaboration, and scientific excellence

Interested? Apply Now!

Reference: AON/AMC/PGDataScience

#aaon

AI Engineer - Databricks and Spark essential London based. Start in May until 31st Dec. Certain Advantage are recruiting for an AI Engineer with hands on Databricks and Spark expertise. Industry experience in commodity or financial trading is strongly preferred. This is a fantastic opportunity to partner with traders and trading analysts to rapidly build AI‑powered analytics over market pricing and fundamentals data, using Databricks and Spark to deliver value at speed. Someone with familiarity in market microstructure, supply‑demand fundamentals, risk management with confident collaboration and engagement skills with trading teams would be ideal. Responsibilities to include Design and ship AI‑driven analytics for front‑office use (seasonality, correlation, regression, forecasting, scenario modelling). Build reusable and scalable data pipelines in Databricks (PySpark/Spark, Delta/Unity Catalog), optimizing cost, reliability, and performance. Run statistical/econometric analyses on large datasets (e.g., market & fundamental time series data). Collaborate directly with traders/analysts—translate ambiguous questions into shippable solutions; communicate insights clearly. Implement LLM/agentic workflows: prompt engineering, LangGraph orchestration, MCP integrations, tool calling, retrieval, and guardrails. Productionize solutions with testing, observability, versioning, and documentation.What we’re looking for Hands‑on Databricks + Spark expertise (PySpark, SQL, Delta, Unity Catalog). Proven data engineering skills (ingestion, modelling, orchestration, performance tuning). Strong statistics/economics/data science fundamentals for market time‑series. Experience building LLM solutions (prompting, retrieval, agent flows; LangGraph, MCP) and integrating with trading data/services. Experience with CI/CD, Terraform, MLflow/feature stores, vector DBs, and governance (PII handling, data lineage). Excellent stakeholder skills; able to work on‑desk with traders/analysts and deliver fast. Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

Forvis Mazars is a leading global professional services network providing audit & assurance, tax, and advisory services. Forvis Mazars in the UK spans 14 offices across the nation and has over 3,400 professionals, with 190 partners. We have a clear purpose and a shared commitment to shape a better future.

You’ll join a collaborative and inclusive team where you’re supported to grow your skills, explore new opportunities, and contribute from day one. You’ll work with a diverse client base, develop meaningful connections, and gain experience that extends beyond your local team. Together, we grow , belong and impact .

Market Risk / CCR Quant Analyst - AVP/VP Level - Consultancy

We are seeking an experienced Senior Consultant, Manager OR Associate Director (AVP to VP Level) to join our Market Risk advisory practice, focused on delivering innovative quantitative solutions to clients. In this role, you will leverage your deep quantitative expertise to advise clients on risk measurement, modelling, and regulatory compliance, contributing directly to their strategic decision-making progress.

Responsibilities

• Lead small and large multidisciplinary engagements and manage client relationships, provide advanced quantitative analysis and modelling to address complex market risk challenges
• Develop, validate, and implement quantitative risk models (including cVaR, CCR and xVA)
• Provide thought leadership in quantitative methodologies, regulatory requirements (e.g. Basel III/IV, FRTB), derivatives pricing techniques, and industry best practices
• Lead project teams, mentor and supervise junior team members, and ensure high-quality delivery
• Support business development initiatives, including identifying new opportunities and developing proposals

What are we looking for?

• Minimum of 3-8 years of relevant experience in quantitative modelling, market risk management, derivatives pricing, or risk advisory within financial services
• Demonstrated experience in one or more of the following areas: derivatives pricing, stochastic modelling techniques, statistical methods including AI/ML, and programming (e.g. Python, R, C++)
• Excellent analytical and problem-solving skills with the ability to translate complex quantitative concepts clearly to non-technical stakeholders

What we offer?

• A dynamic, collaborative, inclusive work environment
• Opportunities to work with leading global financial institutions on challenging and impactful projects
• Continuous professional development with tailored training and mentorship

Diversity, Equity & Inclusion

At Forvis Mazars diversity, equity and inclusion are central to our values. We value our people’s unique backgrounds, perspectives, and experience, and know this diversity create better outcomes for our clients.

We seek to attract, develop, and retain the best talent, inclusive of sex, ethnicity, disability, socio-economic background, sexual orientation, gender identity, nationality, and faith.

We select candidates based on skills, knowledge, qualifications, and experience and aim to support all our team members to reach their potential.

At Forvis Mazars, we promote an environment in which you can grow your skills, belong to a team that values your ideas, and make an impact that matters.

Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit‑learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech | Do you want to work with a business building AI‑native data system that bring clarity and credibility to nature‑based assets? A business tackling complex, real‑world environmental challenges, helping organisations make high‑impact decisions around risk, resilience and commercial performance? This is the chance to join as a Machine Learning Engineer working with a climate‑tech scale‑up applying cutting‑edge Machine Learning to satellite data, weather models and environmental signals, reshaping how nature is valued in real‑world decision‑making. Joining their AI team, you’ll design and deploy models that forecast climate volatility, detect vegetation stress, and generate risk‑driven insights from remote sensing and time‑series data. You’ll work across AI, climate science, geospatial modelling and scalable pipelines, contributing meaningfully from day one. What you’ll be working on: • Building and evaluating Machine Learning/DL models for satellite, weather and climate data • Forecasting environmental and risk‑related signals (volatility, vegetation stress, land‑surface change) • Developing geospatial and remote‑sensing models (Sentinel‑1/2, GEDI, optical, radar, LiDAR) • Creating time‑series and forecasting models for environmental change • Translating business questions into robust modelling problems • Turning research prototypes into scalable, reproducible AI pipelines • Communicating assumptions, uncertainty and results clearly The must‑haves: • Strong background in Machine Learning, DL and Applied Statistics • Time‑series modelling + backtesting • Experience with geospatial and climate datasets • Python stack: PyTorch, scikit‑learn, scipy • Reproducible workflows (Git, AWS/cloud, W&B) Nice‑to‑haves: • Risk modelling, financial time series, portfolio optimisation (great for FinTech/quant backgrounds) • Climate/weather datasets (CMIP, forecast data) • Geospatial tools: rasterio, xarray, geopandas, GDAL • Remote sensing (optical, radar, LiDAR) • MLOps: CI/CD, containerisation, monitoring • Startup or fast‑paced product environment The role offers £110k–£130k, a global team environment, and the chance to shape the future of AI‑powered environmental and risk intelligence. If it ticks those boxes, don’t hang about message me: (url removed) Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit‑learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech

Role- Data Scientist Location: London, UK Type of job : Contract Work mode : Hybrid- 2 days onsite in a week Responsibilities: \* Explore, clean, and analyse large, complex datasets to uncover patterns, trends, and opportunities that drive actionable insights. \* Develop, train, and validate machine learning, statistical, and predictive models that solve real business problems and deliver measurable impact. \* Design and run experiments (A/B tests, hypothesis tests, simulations) to evaluate ideas, quantify outcomes, and guide decision‑making. \* Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well‑defined modelling tasks. \* Build end‑to‑end ML pipelines—from feature engineering and preprocessing to deployment‑ready model outputs. \* Apply advanced techniques such as NLP, time‑series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant. \* Implement model evaluation frameworks using offline metrics, cross‑validation, online experiments, and human‑in‑the‑loop feedback loops. \* Communicate insights clearly through dashboards, visualisations, written summaries, and presentations tailored to technical and non‑technical stakeholders. \* Ensure models are interpretable and explainable where required, providing transparency into key drivers and assumptions. \* Work with engineering teams to deploy models into production, monitor performance, and retrain or recalibrate as data and conditions change. Essential skills: Hands-on experience with GenAI, Gemini or Open source LLMs and develop GenAI applications for Code Translation, Text Extraction, Summarisation and SDLC Optimization etc. \* Hands-on Experience with AI Agents, Chat bots, RAG (Retrieval-Augmented Generation), and vector databases. ( PG vector / croma DB ) \* Hands-on Experience with GenAI Performance Evaluation tools like Pegasus, Ragas, DeepEval \* Create Conversational Interface with React JS or other Frontend components, Develop and deploy AI agents using LangGraph and ADK, A2A, MCP \* Strong programming skills in Python (experience with LangChain/LangGraph / LangSmith frameworks) and TypeScript ( preferable ) \* Solid understanding of LLMs, prompt engineering, and graph-based workflows. \* Knowledge and implementation of Input and Output guardrails in addressing Hallucination, PII filtering, HAP and Bias etc. \* Implemented security best practices, Experience to address spikes and Denial of wallet attacks, DDoS attack and other Spike arrest strategies \* Knowledge of API Gateways and ISTIO , ability to Diagnose and intercept failures in End to End communication \* Hands-on Experience with API Development and Microservices architecture Desirable experience: \* Strong experience applying machine learning, statistical modelling, and predictive analytics to real‑world business problems. \* Collaborate with cross-functional teams to ability to resolve end to end connectivity and Data Integrations \* Experience working with large, complex datasets, including data cleaning, feature engineering, and exploratory data analysis. \* Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine‑tuning. \* Experience building end‑to‑end ML pipelines, including model validation, optimisation, deployment, and monitoring. \* Understanding of MLOps practices, including model versioning, model registries, CI/CD for ML, and automated training/inference workflows. \* Ability to translate business problems into analytical tasks and communicate insights in a clear, concise manner to technical and non‑technical audiences. \* Knowledge of data governance, including data quality, lineage, ethics, privacy considerations, and responsible AI principles. \* Comfort working with cloud platforms (GCP preferred) for model training, deployment, and scalable compute. \* A growth‑oriented mindset with enthusiasm for exploring new algorithms, tools, and emerging AI/ML techniques

Job Specification: Data Scientist – Pricing Modelling Overview We are seeking a highly skilled Data Scientist with proven experience in pricing modelling within the sports industry. The ideal candidate will be responsible for building, optimising, and deploying data-driven pricing models that help maximise revenue, improve forecasting accuracy, and support strategic commercial decisions. This role will work closely with commercial, product, finance, and analytics teams to deliver impactful insight and pricing recommendations. Key Responsibilities Pricing Modelling & Analytics - Develop, own, and optimise dynamic pricing models across sports products (tickets, memberships, hospitality, broadcasting, merchandise, or gaming—depending on organisation). - Build predictive models for demand forecasting, elasticity analysis, and customer behaviour. - Run simulations and scenario modelling to guide pricing strategy. - Maintain model accuracy through performance monitoring, retraining, and back-testing. Data Science & Engineering - Work with large datasets from multiple sources including ticketing systems, CRM data, sales systems, attendance data, and third-party partners. - Build robust data pipelines and ensure high data quality and reproducibility. - Deploy models into production environments (e.g., via APIs, automated workflows, or BI tools). Insight & Strategy - Translate modelling outputs into clear commercial recommendations for non-technical stakeholders. - Present findings to senior leadership, supporting decision-making with evidence-based insight. - Collaborate with marketing and commercial teams to understand demand drivers and pricing levers. - Evaluate the impact of pricing changes and provide post-event analysis. Innovation - Explore new modelling techniques such as reinforcement learning, dynamic optimisation, or real-time price adjustment. - Stay current with trends in sports analytics, pricing science, machine learning, and demand forecasting. Required Skills & Experience - 3+ years in data science, analytics, or econometrics roles (pricing strongly preferred). - Strong experience with pricing models, demand forecasting, price elasticity, or dynamic pricing algorithms. - Proficiency in Python (Pandas, NumPy, Scikit-Learn; bonus: PyTorch/TF). - Experience using SQL and working with relational databases or cloud data warehouses. - Solid statistical knowledge: regression modelling, time series forecasting, Bayesian methods, optimisation techniques. - Experience deploying models to production (e.g., Docker, cloud platforms, CI/CD pipelines). - Ability to design and interpret A/B tests or controlled experiments. - Excellent stakeholder communication skills, especially with commercial teams. Desirable Skills - Experience in the sports industry (ticketing, memberships, fan behaviour, sports betting, E-commerce). - Familiarity with sports-specific datasets or pricing environments. - Knowledge of BI tools (e.g., Looker, Power BI, Tableau). - Understanding of revenue management principles (yield management, inventory controls). - Background in applied mathematics, economics, statistics, or a related field. Personal Attributes - Commercially minded with a passion for applying data science to real business problems. - High attention to detail with strong analytical rigour. - Able to manage multiple projects and work in fast-paced environments. - Curious, proactive, and comfortable challenging assumptions with data. What We Offer - Opportunity to shape a cutting-edge pricing strategy in a high-growth sports environment. - Close collaboration with data engineers, analysts, commercial teams, and leadership. - A culture that values experimentation, innovation, and data-driven decision making. - Professional development opportunities across data science, engineering, and sports analytics.