106 Front Office Xva Quant Vp jobs in the United Kingdom

Quantitative Analyst required by a sports trading company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks.

The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside a team of Quants, Developers, and Analysts.

Due to the nature of the business this is mainly an office-based role.

Experience required:

• 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries.
• Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc
• Strong programming ability, preferably in Python
• SQL and relational databases

The company offer some great benefits including a bonus, subsidised office meals, gym membership, and private medical insurance.

If you are interested in this role, please apply or contact (url removed) / (phone number removed) for further information.

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

Quantitative Analyst

Up to 130,000

London (Fully Onsite)

Company:

Join a world-class global investment management firm that specialises in sports trading, spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies.

In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events.

Responsibilities:

• Utilise advanced statistical techniques and machine learning to build predictive models that shape our trading strategies
• Develop predictive models for sports outcomes using advanced mathematical and statistical techniques.
• Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies.
• Implement and optimise numerical methods to support robust, scalable model performance in live environments.
• Collaborate closely with fellow researchers and developers in a fast-paced, science-driven team environment.
• Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets.

Requirements:

• MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
• Strong background in mathematics, statistics, or a related quantitative field
• Experience in developing mathematical models to predict real-world outcomes
• Proficiency in numerical implementation and computational methods

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

Quantitative Analyst

Up to £100,000

London (Fully Onsite)

Company:

Join a world-class global investment management firm that specializes in sports trading, spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies.

In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events.

Responsibilities:

• Utilise advanced statistical techniques and machine learning to build predictive models that shape our trading strategies
• Develop predictive models for sports outcomes using advanced mathematical and statistical techniques.
• Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies.
• Implement and optimise numerical methods to support robust, scalable model performance in live environments.
• Collaborate closely with fellow researchers and developers in a fast-paced, science-driven team environment.
• Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets.

Requirements:

• MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
• Strong background in mathematics, statistics, or a related quantitative field
• Experience in developing mathematical models to predict real-world outcomes
• Proficiency in numerical implementation and computational methods

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

Quantitative Analyst

Up to 130,000

London (Fully Onsite)

Company:

Join a world-class global investment management firm that specialises in sports trading, spanning football, soccer, cricket, and major US sports like the NBA. As part of their elite trading team, you’ll harness advanced statistical techniques and machine learning to build predictive models that shape their trading strategies.

In this role, you’ll drive revenue growth and develop mathematical models to predict the outcomes of sports events.

Responsibilities:

• Utilise advanced statistical techniques and machine learning to build predictive models that shape our trading strategies
• Develop predictive models for sports outcomes using advanced mathematical and statistical techniques.
• Analyse real-world sports data to uncover patterns and generate insights that inform trading strategies.
• Implement and optimise numerical methods to support robust, scalable model performance in live environments.
• Collaborate closely with fellow researchers and developers in a fast-paced, science-driven team environment.
• Continuously innovate and improve modelling approaches to stay competitive in dynamic and data-rich sports markets.

Requirements:

• MSc, PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
• Strong background in mathematics, statistics, or a related quantitative field
• Experience in developing mathematical models to predict real-world outcomes
• Proficiency in numerical implementation and computational methods

How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

Excellent opportunity for a passionate Quantitative Analyst to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but 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 but not essential.

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

Previous experience within the sports trading industry would be beneficial.

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 (big data, deep learning, machine learning) is beneficial
• Specific sports trading knowledge is beneficial but not essential

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.

Excellent opportunity for a passionate Quantitative Analyst to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but 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 but not essential.

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

Previous experience within the sports trading industry would be beneficial.

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 (big data, deep learning, machine learning) is beneficial
• Specific sports trading knowledge is beneficial but not essential

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.

Our client is driving innovation in the peer-to-peer energy market, building cleaner, smarter local communities and has seen continued success and is close to gaining Series B funding. They’re seeking an experienced Forecasting Specialist / Portfolio Optimisation Analyst to play a key role in forecasting, optimisation, and trading strategy execution.

Reporting to senior portfolio leaders, you’ll build and maintain forecasting capability across consumption and generation, supporting both short and long-term strategies. You’ll develop and systemise data pipelines, explore advanced forecasting techniques (e.g. XGBoost, random forests), and create reporting frameworks that benchmark quality and performance.

You’ll partner closely with internal teams across structuring, pricing, operations, and finance, helping shape portfolio risk management, trading decisions, and improved customer outcomes. The role also involves mentoring junior team members and driving best practices in forecasting processes.

What you’ll bring:

• Degree in numerate/science/engineering discipline
• At least 18m of UK energy supply experience
• Strong analytical skills, ideally with Python
• Proactive mindset, eager to develop and deliver impact

Process :

• TA Intro / Culture Interview
• 1 HR with Head of UK Portfolio Management + One Other
• 1 HR with Director of Portfolio Management + Head of Structuring and Pricing

Whats on Offer:

• Competitive Salary
• Annual Discretionary Bonus (Aligned to Personal & Company wide goals)
• 30 Days Holiday (+ bank holidays)
• L&D Budget
• Company Pension Scheme
• Eye Care, Cycle to Work and a variety of additional benefits.

+ most importantly the ability to make an impact, design and build entirely new things and take true accountability. We know that might not appeal to everyone but if you have a passion for analytics, and helping to better utilise clean energy and be part of a diverse high energy company then we'd love to chat.

We would like to ensure that for at least one of the 2 key stages that candidates can visit the office - we believe it's important to meet the team, see the surroundings and understand the culture that little bit better.

This is a fantastic opportunity to influence commercial outcomes in a fast-growing, future-focused energy market.

Excellent opportunity for a passionate Quantitative Analyst to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but 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 indiv.

Onyx Capital Group was founded, by traders, on the principles of expertise, vision and excellence. The company has rapidly grown to command across the entire spectrum of oil derivative products. Our aim is not just to be market leaders but to build a unique franchise that continuously pushes boundaries. We know that our success is derived from a total commitment to pursue excellence in both our people and our technology which we heavily invest in.

We are currently hiring for an individual with strong quantitative skills to join our Quantitative Trading desk within the next month.

Your future role within Onyx would include:

• Delivering high quality quantitative strategies in production
• Monitoring continuous trading, strategy performance and all relevant risks
• Implementing signals and relevant datasets within the global execution platform
• Leveraging your trading and market expertise by sharing production results, methodology, data sets and processes with traders & senior management
• Supporting the full-strategy trading cycle from risk calibration to trade executions

Requirements

• Completed Bachelors or Advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering, graduating in 2025 or earlier
• Strong knowledge in statistics and Machine Learning
• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail
• Strong Python skills/experience essential
• Experience in exploring large datasets across multiple time frames
• Curiosity about global energy and commodities markets
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes, and connect the dots between multiple fields
• Capacity to work with autonomy within a collegial and collaborative environment
• Trading expertise and market knowledge which can be leveraged in the systematic space is a plus
• Good communication skills

This role is for an immediate start and therefore we would advise against applying if you are yet to complete your studies.