Quantitative Developers – Sports Modelling | London | £70k-£130k + Bonus A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Developers to their growing group. This firm trades on global sports markets using cutting-edge statisticalmodelling and high levels of automation. 📍 Location: Central London (5 days a … flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/PhD in a quantitative … Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python/R (mandatory); MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Experience in a Quant role Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real More ❯
Hiring: Quantitative Developers – Sports Modelling | London | £70k-£130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Developers to their growing group. This firm trades on global sports markets using cutting-edge statisticalmodelling and high levels of automation. 📍 Location: Central London (5 days … flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/PhD in a quantitative … Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Experience in a Quant role Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real More ❯
Hiring: Quantitative Developers – Sports Modelling | London | £70k-£130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Developers to their growing group. This firm trades on global sports markets using cutting-edge statisticalmodelling and high levels of automation. 📍 Location: Central London (5 days … flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/PhD in a quantitative … Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Experience in a Quant role Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real More ❯
Hiring: Quantitative Developers – Sports Modelling | London | £70k-£130k + Bonus A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Developers to their growing group. This firm trades on global sports markets using cutting-edge statisticalmodelling and high levels of automation. Location: Central London (5 days … flexibility) Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/PhD in a quantitative … Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Experience in a Quant role Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real More ❯
About Football Radar For over a decade, Football Radar has excelled in developing statistical models and analytical frameworks for football. Our expertise extends to providing advisory services to football clubs and offering leading-edge betting advice that has consistently delivered outstanding returns for our clients. We try to combine the freedom and flexibility of working in a start-up … the stability of an established business, giving our people the autonomy to act and the support to succeed. About the Role You will be responsible for designing and developing statistical models used to predict cricket matches. We are looking for smart, mathematical and ambitious people who enjoy solving challenging problems and can make pragmatic decisions. You do need to … you have: Strong problem solving skills, with an ability to proactively identify challenges and propose solutions An ability to make pragmatic and sensible choices about what data analysis and modelling approaches to use - you can judge when it's right to obsess about the details, and when it's right to ship an MVP as fast as possible A More ❯
They are looking for a talented Pricing Data Scientist to join the dynamic team and drive innovation in motor insurance pricing. THE ROLE Develop and refine pricing models using statistical and machine learning techniques to improve underwriting accuracy and risk assessment. Analyse large data sets to identify trends, customer behaviours, and risk factors that impact pricing strategies. Implement data … pricing strategies. Continuously monitor and evaluate model performance, making data-backed improvements as needed. REQUIREMENTS Strong experience in data science, pricing analytics within insurance or fintech industries. Expertise in statisticalmodelling, machine learning, and data analysis techniques. Proficiency in programming languages such as Python, R, or SQL. HOW TO APPLY Please send CV below More ❯
They are looking for a talented Pricing Data Scientist to join the dynamic team and drive innovation in motor insurance pricing. THE ROLE Develop and refine pricing models using statistical and machine learning techniques to improve underwriting accuracy and risk assessment. Analyse large data sets to identify trends, customer behaviours, and risk factors that impact pricing strategies. Implement data … pricing strategies. Continuously monitor and evaluate model performance, making data-backed improvements as needed. REQUIREMENTS Strong experience in data science, pricing analytics within insurance or fintech industries. Expertise in statisticalmodelling, machine learning, and data analysis techniques. Proficiency in programming languages such as Python, R, or SQL. HOW TO APPLY Please send CV below More ❯
team culture. YOUR NEXT CHALLENGE This role sits within the Marketing Effectiveness team at Medialab, helping clients understand the true value of their media investments through advanced measurement solutions, statisticalmodelling, and integrated insights. Reporting to the Head of Marketing Effectiveness, you will lead modelling workstreams, ensure quality control, and integrate research from multiple sources to deliver … will play a dual role: supporting and mentoring team members while continuing to develop your own skills alongside industry experts. Our proprietary Apollo platform automates data collection, allowing the modelling team to focus on insight generation and strategic recommendations rather than manual data processing. HOW YOU WILL MAKE AN IMPACT Lead end-to-end Marketing Mix Modelling (MMM … presentation materials and communicate complex insights in a clear, actionable way. Identify new business opportunities, contribute to pitches, write proposals, and create thought leadership pieces. Drive innovation in automated modelling processes, collaborating with engineering teams to enhance efficiency. Represent Medialab externally, building strong relationships with clients and industry stakeholders. WHAT YOU BRING TO THE TEAM Must Have Skills 7+ More ❯
If you are passionate, curious and ready to make an impact, we are looking for you. Quantitative Research (QR) is an expert quantitative modelling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statisticalmodelling and portfolio management. As a global team, QR partners with traders, marketers and risk managers across all … to provide analytical support to the trading desks and other stakeholders. Job summary: As a Vice President or Executive Director in Quantitative Research, Energy team, you will be providing modelling solutions to the Commodities business.Yo will get a chance to utilize yourextensive knowledge of quantitative methods, including valuation of derivatives and risk modelling, as well as expertise in More ❯
growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and commercial … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statisticalmodelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role More ❯
growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and commercial … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statisticalmodelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role More ❯
Souza Senior Technical Pricing Analyst: An opportunity has arisen to join Ageas's Underwriting department in the Technical Pricing team. Technical Pricing are responsible for the production of specialist statistical risk models for our insurance products including Private Car, Van, Bike and Household. While we have offices in London, Eastleigh and Bournemouth, we will accommodate working from home full … models and deploying the latest data science techniques to generate profitable business growth. The Senior Technical Pricing Analyst will support projects, assisting in data preparation, performing, and reviewing actuarial modelling and interpreting results that drives high impact and, intelligent pricing solutions - all of which will help drive our competitive positioning. This role has a strong research and development focus … as an Actuary. Main Responsibilities: Creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricing. Assisting in the production of ad-hoc actuarial and statistical analyses, working with stakeholders across the company to solve a wide range of business problems Producing reports, documentation, and presentations to communicate statistical models and results to key More ❯
scoping work items, and contributing to roadmap discussions. Skills & Experience: Strong background in physiological signal analysis, ideally with experience in neurophysiology, cerebral hemodynamics, or related areas Proficient in applying statisticalmodelling and machine learning techniques (e.g., time-series modelling, feature extraction, classification) to biological/medical datasets Fluent in Python and familiar with industry-standard tools for … Strong understanding of physical principles associated with optical spectroscopy, interferometry, and related techniques Familiarity with regulatory environments (e.g., FDA, CE-marked devices) Exposure to optical sensor design, photon migration modelling, or neuroimaging. Benefits: Company equity plan Company pension scheme Private medical, dental and vision insurance Group life assurance Comprehensive mental health support and resources Unlimited holiday allowance (+ bank More ❯
challenge ML models that aim to predict and explain cellular decision-making in disease. Your responsibilities Develop and implement computational workflows for integrating and analysing multi-omics data. Design statistical models for analysing transcriptomics and other omics datasets. Use domain and data insights to design meaningful and challenging evaluation tasks for ML models. Collaborate closely with ML modellers to … with high-performance computing environments. Desirable knowledge or experiences Familiarity with single-cell transcriptomics or patient-derived datasets. Knowledge of ML techniques applied to biological data. A background in statisticalmodelling and algorithm development. Experience working in interdisciplinary teams. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated More ❯
code and architectural reviews, as well as technical mentoring. Data Science Enablement Act as Data Scientist to support analytics and decision-making needs. Develop experimentation frameworks, metric definitions, and statistical models. Help define the future structure, tools, and hiring profile for the Data Science function. Required Qualifications: Proven experience building and deploying GenAI applications in production. Strong hands-on … knowledge of LLMs, prompt engineering, and retrieval-augmented generation (RAG). Practical experience with traditional ML, including data pipelines and MLOps workflows. Working knowledge of statisticalmodelling and experimentation. Proficiency in Python and at least one additional general-purpose language. Strong understanding of cloud-native architectures (AWS preferred). Experience leading technical teams and mentoring engineers. Excellent stakeholder More ❯
educational experience. Solid programming skills in at least one of the major programming languages (e.g., C/C++, Python, R). In-depth knowledge of protein sequence or structure modelling, protein-ligand interaction predictions and/or molecular simulations. Understanding of AI/ML methods and practical experience in adopting AI/ML-driven protein-design models. Strong fundamentals … in statisticalmodelling, algorithm design, data analysis, and/or visualization methods. Excellent verbal and written communication skills. Collaborative, open and self-aware, team player, and able to rapidly integrate into cross functional teams. Highly motivated individual with proven ability in thinking innovatively and the proven track record of productive research and development. Preferred experiences and attributes Practical … AI/ML model development for protein design. Experience with experiments within protein engineering, e.g. directed-evolution, high-throughput screening. Experience in using one or more commonly used molecular modelling software, e.g. Rosetta. Knowledge of best software development practices and code version control, e.g. Git. Knowledge of UNIX environment and shell scripting. Experience with high-performance computing, job schedulers More ❯
Cardiff, South Glamorgan, United Kingdom Hybrid / WFH Options
LexisNexis Risk Solutions
UK and US working hours) Requirements A passionate problem solver focused on customer needs with a Product Management and/or Product Owner experience Domain knowledge in fraud prevention, statisticalmodelling or AI/machine learning is essential Ability to understand and analyse complex data in association with machine learning and AI algorithms Committed to delivering high quality More ❯
scope includes products such as stocks, options, ETFs, and futures, with strategies like market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance and collaborate closely with traders and sales to deliver value to clients and the firm. Role Responsibilities Lead our Quantitative Trading … Market Making desk, developing market making and quoting strategies for equities, from cash to derivatives. Apply advanced statistical analysis and techniques like neural networks to create models that inform systematic trading and risk management decisions in real time. Develop frameworks for risk management and portfolio optimization across asset classes using factor models and other methods. Create model calibration frameworks … for advanced statistical and AI models, handling large-scale time series data. Advance our market making strategies using diverse technologies and collaborate with Quant Developers and engineering teams. Basic Qualifications Strong academic background in physics, mathematics, statistics, engineering, or computer science. Proficient programming skills in languages such as C++, Java, or Python. Self-motivated with excellent self-management skills More ❯
Cheltenham, Gloucestershire, United Kingdom Hybrid / WFH Options
Techwaka
and predictive analytics initiatives to support fleet management and reliability efforts. You will also develop and maintain tools to streamline data cleansing processes, implement advanced analytics solutions, and provide statistical expertise to cross-functional teams. Your contributions will directly enhance the performance and reliability of aviation products, ensuring safety and quality remain our top priorities. GE Aerospace is one … Provide Reliability/In-Service support. Clean, validate and categorise datasets/sources, as required. Complete contractual, non-contractual, and ad-hoc data and reliability requirements, as assigned. Develop statistical models for specific issues, execute accurate analyses and provide clear link between statistical results and physics. Communicate technical content to satisfy requests using appropriate media (e.g. presentation) to … a variety of stakeholders at all levels. Provide statistical guidance to other personnel and assigned teams, mentor others in the organisation. Adhere to departmental compliance, company policies and government regulations. Required Qualifications This role requires advanced experience in the Engineering/Technology & Fleet Management. Knowledge level is comparable to a Bachelor's degree from an accredited university or college More ❯
Cheltenham, Gloucestershire, United Kingdom Hybrid / WFH Options
Energy Consulting group
and predictive analytics initiatives to support fleet management and reliability efforts. You will also develop and maintain tools to streamline data cleansing processes, implement advanced analytics solutions, and provide statistical expertise to cross-functional teams. Your contributions will directly enhance the performance and reliability of aviation products, ensuring safety and quality remain our top priorities. GE Aerospace is one … Provide Reliability/In-Service support. Clean, validate and categorise datasets/sources, as required. Complete contractual, non-contractual, and ad-hoc data and reliability requirements, as assigned. Develop statistical models for specific issues, execute accurate analyses and provide clear link between statistical results and physics. Communicate technical content to satisfy requests using appropriate media (e.g. presentation) to … a variety of stakeholders at all levels. Provide statistical guidance to other personnel and assigned teams, mentor others in the organisation. Adhere to departmental compliance, company policies and government regulations. Required Qualifications This role requires advanced experience in the Engineering/Technology & Fleet Management. Knowledge level is comparable to a Bachelor's degree from an accredited university or college More ❯
product types such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We deploy statistical analysis and mathematical models to enhance business performance, collaborating with traders and sales on the trading floor to deliver value to clients and the firm. Role Responsibilities Lead our … Quantitative Trading & Market Making desk by developing market making and quoting strategies across equity products, from cash to derivatives. Utilize advanced statistical analysis and techniques such as neural networks to build models that inform systematic trading and risk management decisions in real time. Implement frameworks for centralized risk management and construct optimal portfolios across asset classes using factor models … and other techniques. Develop model calibration frameworks for our statistical and AI models, operating at scale with large datasets of time series data. Advance our market making strategies using various technologies and collaborate closely with Quant Developers and engineering teams. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science. More ❯
time. Key Responsibilities: Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform … research or trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯
time. Key Responsibilities: Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform … research or trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯
time. Key Responsibilities: Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform … research or trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯
better advise Trustees and Corporate clients on a wide range of actuarial-related areas. ML Ops Engineer Main Duties: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate … decision-making processes, and improve client offerings. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Collect, clean and preprocess large datasets More ❯
