463 Quantitative Analyst jobs in the United Kingdom

Our client, are a global proprietary trading firm that combines sophisticated technology with deep quantitative research to deploy capital across global financial markets.

Role Overview

As a Quantitative Analyst, you will be at the heart of the trading and research efforts, designing and implementing statistical and mathematical models to identify and capitalise on market inefficiencies. You will work closely with traders, developers, and other quants in a fast-paced, intellectually demanding environment.

Key Responsibilities

• Research, develop, and optimise trading models using large and complex datasets
• Design and implement statistical, mathematical, and machine learning algorithms for signal generation and risk modeling
• Perform backtesting and performance evaluation of strategies across various asset classes (equities, futures, options, FX, crypto, etc.)
• Collaborate with technologists and traders to deploy models into production and monitor live trading systems
• Contribute to portfolio construction, alpha combination, and execution optimization

Required Qualifications

• PhD in Mathematics, Physics, Statistics, Computer Science, Engineering, or related quantitative field
• Strong foundation in probability, statistics, stochastic processes, optimization, and/or numerical methods
• Proficient programming skills in Python, C++, R, or MATLAB (Python preferred)
• Demonstrated experience working with large datasets, data cleaning, and analysis
• Familiarity with financial markets and instruments is a plus but not mandatory
• Exceptional problem-solving skills and attention to detail
• Ability to communicate complex ideas clearly and effectively

Desirable Experience (not required but a plus)

• Experience in quantitative finance, algorithmic trading, or financial data analysis
• Knowledge of machine learning frameworks and tools (e.g., scikit-learn, TensorFlow, PyTorch)
• Exposure to high-frequency data and time-series analysis
• Publications in peer-reviewed journals or participation in academic competitions (e.g., Kaggle, Olympiads)

This role is offered as a 12-month fixed-term contract, with the potential to transition into a permanent position.

Our Client is Hiring: Quantitative Analyst (Python | Quant | Digital Assets)

Are you a Quantitative Analyst, Index Analyst or Data Analyst with strong Python skills and a passion for digital assets? This is an opportunity to join a leading index provider at the forefront of benchmark innovation - working across design, operations, and methodology for next-generation digital asset indices.

What You’ll Do

• Run and oversee validation models to ensure index integrity
• Perform index reconstitutions using Python and related tools
• Prepare and distribute index announcements to stakeholders
• Set up, test, and deploy new indices and reference rates
• Maintain and enhance index calculation and weighting models
• Collaborate with engineers on defining technical requirements and testing new releases
• Address client inquiries , lead calls, and provide insights on methodologies
• Review and update index methodologies ; present recommendations internally
• Troubleshoot issues, monitor data/system alerts, and lead remediation efforts
• Create and maintain operational process documentation and runbooks
• Identify and recommend process improvements for efficiency and control

What We’re Looking For

• Minimum 2+ years of experience as a Quantitative Analyst, Index Analyst or similar role
• Solid Python skills; comfortable building models and data pipelines
• Strong knowledge of maths, statistics, and quantitative methods
• Experience working with time-series and large financial datasets
• Solid understanding of financial markets and derivatives ; digital assets a strong plus
• Proficiency in Excel ; experience with APIs and streaming data is a plus
• Strong problem-solving skills and exceptional attention to detail
• Excellent project management and the ability to work cross-functionally

Why Join?

• Shape the future of digital asset benchmarks at a globally recognised index provider
• Work at the intersection of finance, technology, and quantitative research
• Hybrid working, with a central London base
• Competitive salary: £55,000 – £65,000 + benefits

This role is offered as a 12-month fixed-term contract, with the potential to transition into a permanent position.

Our Client is Hiring: Quantitative Analyst (Python | Quant | Digital Assets)

Are you a Quantitative Analyst, Index Analyst or Data Analyst with strong Python skills and a passion for digital assets? This is an opportunity to join a leading index provider at the forefront of benchmark innovation - working across design, operations, and methodology for next-generation digital asset indices.

What You’ll Do

• Run and oversee validation models to ensure index integrity
• Perform index reconstitutions using Python and related tools
• Prepare and distribute index announcements to stakeholders
• Set up, test, and deploy new indices and reference rates
• Maintain and enhance index calculation and weighting models
• Collaborate with engineers on defining technical requirements and testing new releases
• Address client inquiries , lead calls, and provide insights on methodologies
• Review and update index methodologies ; present recommendations internally
• Troubleshoot issues, monitor data/system alerts, and lead remediation efforts
• Create and maintain operational process documentation and runbooks
• Identify and recommend process improvements for efficiency and control

What We’re Looking For

• Minimum 2+ years of experience as a Quantitative Analyst, Index Analyst or similar role
• Solid Python skills; comfortable building models and data pipelines
• Strong knowledge of maths, statistics, and quantitative methods
• Experience working with time-series and large financial datasets
• Solid understanding of financial markets and derivatives ; digital assets a strong plus
• Proficiency in Excel ; experience with APIs and streaming data is a plus
• Strong problem-solving skills and exceptional attention to detail
• Excellent project management and the ability to work cross-functionally

Why Join?

• Shape the future of digital asset benchmarks at a globally recognised index provider
• Work at the intersection of finance, technology, and quantitative research
• Hybrid working, with a central London base
• Competitive salary: £55,000 – £65,000 + benefits

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.