16 of 16 Mathematical Modelling Jobs in London

working environment. Previous experience within the sports trading industry would be beneficial. Skills required: PhD in STEM related subject 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 More ❯

working environment. Previous experience within the sports trading industry would be beneficial. Skills required: PhD in STEM related subject 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 More ❯

looking for a Senior Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems. Key responsibilities Develop and deploy optimisation models and algorithms for staff scheduling and warehouse workforce planning … Metaheuristics/Heuristics). Develop mathematical models and optimisers (beyond standard ML approaches) Evolve the existing optimiser into a scalable, production-ready system Write production-quality Python code and collaborate closely with engineers and other data scientists Mentor and coach junior data scientists whilst maintaining best practice. What they're looking for Strong Python skills (critical) Hands-on experience … with optimisation/operations research/mathematical modelling Background in supply chain or workforce planning (desirable) Ability to build and ship production-level components, not just analytical prototypes Master's or PhD in Data Science or similar (desirable) If this sounds like you and you would like to know more details, please apply now. More ❯

looking for a Senior Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems. Key responsibilities Develop and deploy optimisation models and algorithms for staff scheduling and warehouse workforce planning … Metaheuristics/Heuristics). Develop mathematical models and optimisers (beyond standard ML approaches) Evolve the existing optimiser into a scalable, production-ready system Write production-quality Python code and collaborate closely with engineers and other data scientists Mentor and coach junior data scientists whilst maintaining best practice. What they're looking for Strong Python skills (critical) Hands-on experience … with optimisation/operations research/mathematical modelling Background in supply chain or workforce planning (desirable) Ability to build and ship production-level components, not just analytical prototypes Master's or PhD in Data Science or similar (desirable) If this sounds like you and you would like to know more details, please apply now. More ❯

looking for a Senior Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems. Key responsibilities Develop and deploy optimisation models and algorithms for staff scheduling and warehouse workforce planning … Metaheuristics/Heuristics). Develop mathematical models and optimisers (beyond standard ML approaches) Evolve the existing optimiser into a scalable, production-ready system Write production-quality Python code and collaborate closely with engineers and other data scientists Mentor and coach junior data scientists whilst maintaining best practice. What they're looking for Strong Python skills (critical) Hands-on experience … with optimisation/operations research/mathematical modelling Background in supply chain or workforce planning (desirable) Ability to build and ship production-level components, not just analytical prototypes Master's or PhD in Data Science or similar (desirable) If this sounds like you and you would like to know more details, please apply now. More ❯

looking for a Senior Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems. Key responsibilities Design and improve optimisation algorithms for staff scheduling and warehouse workforce planning Develop mathematical … Python code and collaborate closely with engineers and other data scientists What they're looking for Strong Python skills (critical) Hands-on experience with optimisation/operations research/mathematical modelling Background in supply chain or workforce planning (desirable) Ability to build and ship production-level components, not just analytical prototypes If this sounds like you and you More ❯

develop scalable, maintainable and high-quality code. Someone who enjoys maths/logic problems and challenges Knows or willingness to learn Python for analysing and building various quants/mathematical models Experience across one or more asset classes such as Equities, FX, Commodities, and Derivatives. Familiarity with Front Office trading systems and a deep understanding of market-making environments. More ❯

risk, optimise portfolios, and improve market efficiency. This is not a standard software engineering role. It combines quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models, then implement them in code at scale. Responsibilities Design, implement, and … productionize optimisation and financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills … optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary, performance-based bonus, and hybrid flexibility. More ❯

risk, optimise portfolios, and improve market efficiency. This is not a standard software engineering role. It combines quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models, then implement them in code at scale. Responsibilities Design, implement, and … productionize optimisation and financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills … optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary, performance-based bonus, and hybrid flexibility. More ❯

risk, optimise portfolios, and improve market efficiency. This is not a standard software engineering role. It combines quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models, then implement them in code at scale. Responsibilities Design, implement, and … productionize optimisation and financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills … optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary, performance-based bonus, and hybrid flexibility. More ❯

risk, optimise portfolios, and improve market efficiency. This is not a standard software engineering role. It combines quantitative research with applied algorithm design. The successful professional will excel at mathematical modelling, operations research, and optimisation, and will be able to translate complex business challenges into rigorous models, then implement them in code at scale. Responsibilities Design, implement, and … productionize optimisation and financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills … optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary, performance-based bonus, and hybrid flexibility. More ❯

strategic goals. Hands-on experience in change management, with a focus on embedding data-driven decision-making throughout the organisation. Strong analytical capabilities, including the application of statistical and mathematical models to support business insights. Exceptional communication and influencing skills, with the ability to engage and inspire stakeholders at all levels. A proactive and solutions-focused approach to data More ❯

excellence, and is responsible for: Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk Designing and implementing complex mathematical models that allow for consistent pricing and joint risk quantification across multiple portfolios, enabling more holistic and optimal hedging decisions Assisting originators in development of structured products across the … the successful candidate will be required to: Produce high quality increments to the team's model library - working both individually and collaboratively. Providing leadership in areas such as object modelling & interface design, automated testing & refactoring and performance optimisation. Provide support to Trading & Origination on model usage and behaviour. Leverage the teams cross-asset expertise to connect business locations, helping … testing, integration testing, etc.). Knowledge of TDD and BDD is a strong plus. Experience with DevOps practices and tooling (CI/CD, containerization etc) is desirable. Familiarity with mathematical and statistical models used in finance, particularly with regards to derivatives pricing and risk management systems. Familiarity or high level of interest in Energy/commodity markets. Strong Communicator More ❯

the world's leading financial markets analytics platform. The Role We are seeking a Senior Quantitative Developer to play a key role in the design, build and validation of mathematical models that power our industry-leading market surveillance products. This position is for our Metrics team, who are responsible for the end-to-end delivery of our market abuse … metrics and analytics. The successful candidate will combine excellent mathematical skills and proven industry experience with the ability to produce high-quality software. Responsibilities Designing and implementing complex quantitative models and sophisticated pattern-detection algorithms for use across all TH product offerings Architecting robust systems for quantitative analysis and prototyping proprietary mathematical/statistical models Leading technical research … quantitative infrastructure Main skills/competencies Proven financial markets experience, ideally within an investment bank or hedge fund Proficiency with C#, Python or another object-oriented programming language Exceptional mathematical and problem-solving skills Exposure to the fixed-income or commodities asset classes Deep understanding of derivatives and how they are priced (e.g. options, swaps, futures) Good knowledge of More ❯

excellence, and is responsible for: Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk Designing and implementing complex mathematical models that allow for consistent pricing and joint risk quantification across multiple portfolios, enabling more holistic and optimal hedging decisions Assisting originators in development of structured products across the … required to: Produce high quality increments to the team's model library - working both individually and collaboratively Assist/advise trading and origination via quantitative analysis and a strong mathematical/financial intuition Leverage the teams cross-asset expertise to connect business locations, helping to identify synergies and increase efficiency. Here's what we're looking for: Experience of … high level of interest in Energy/commodity markets Master's Degree or PhD qualification within science, computing, mathematics or other quantitative subject Excellent understanding of a variety of mathematical and statistical models used in finance Experience of code development (ideally Python) Strong Communicator and fluent in English language Strong interpersonal skills. #LI-CET Why should you apply? We More ❯

Quantitative Analyst/Modeller (SQL Mathematics Statistics) London/WFH to £95k Do you have advanced mathematical/data modelling skills combined with experience within the Sports Betting industry? You could be progressing your career in a senior, hands-on Quantitative Analyst/Modeller role at a growing technology company that's advanced data analytics platform helps business … within the online gaming and gambling industry to solve a range of problems. As a Quantitative Analyst/Modeller you will build mathematical models and simulations to predict the likely outcomes of different scenarios in game play, rigorously backtest and validate models to ensure their robustness, accuracy and profitability in real-world betting scenarios and drive the quantitative modelling initiatives. Working for a US Sports analytics client you'll collaborate with their technical team, providing advanced mathematical models derived from large datasets and statistics for the client's MLOps team to productionise. Location/WFH: You'll join a friendly and sociable team in the London office two days a week (Mondays and Thursdays) with flexibility to More ❯