1 to 25 of 57 Mathematical Modelling Jobs in London

Based in central London, this company are developers of a mathematical toolkit used by clients worldwide to solve complex numerical optimisation problems. Their unique software tackles real-world challenges in the energy sector, enabling more streamlined and efficient operations. As their business grows, they are seeking a Mathematical Software Engineer to join their growing team. This role centres around developing highly mathematical code in Java to implement the algorithms used to model and optimise complex industrial processes and logistics. They simulate factors such as resource dependencies and scheduling interactions. The output of these models will enable ...

signature team and be part of leading the way in infrastructure design. Context We're looking for a Principal Consultant to grow our Data, Modelling and Analytics Team. Supporting the management and delivery Strrategic Modelling projects in UK and Ireland. Becoming a technical expert in the development … application of Strategic Modelling systems including the setting up and running of modelling scenarios and the extraction, processing and presentation of modelling results to clients and stakeholders. Missions/Main Duties Act as a technical lead on small/medium projects Execute tasks to quality, time ...

rare opportunity to join a pioneering, three-year Leverhulme Trust-funded project that reimagines how epidemic models capture real human behaviour, bringing together mathematical epidemiology, agent-based modelling, and contemporary social and health psychology to fundamentally rethink how we predict and respond to disease outbreaks. The COVID … most prestigious funders of "original and adventurous research", has backed this genuinely interdisciplinary approach, which challenges the boundaries of mathematical epidemiology and social psychology alike. You will be based at the Network Science Institute part of Northeastern University London, a vibrant, growing centre for network science, sitting within ...

solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced ...

solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced ...

inquisitive mind and an ability to quickly understand complex information and apply analytical thinking and problem-solving skills. Experience applying statistical methods, developing mathematical models, and using large language models (LLMs) and other AI-assisted tools to support data analysis, insight generation, and decision-making. Strong data visualisation ...

join a high-impact quantitative analytics team focused on Cross Asset XVA and Capital Analytics . This is a senior technical role combining quantitative modelling, software engineering and financial markets , with responsibility for developing analytics libraries used across pricing and risk management. You will work closely with Traders, Structurers … ready solutions. Key Responsibilities Develop and maintain quantitative analytics libraries supporting pricing and risk management. Implement and support quantitative models using a combination of mathematical and computer science techniques. Develop pricing and valuation models using numerical methods, including Monte Carlo simulations and PDE solvers. Build high-quality software using ...

Experience of work related to railway operations and engineering, or a knowledge of or interest in the GB railway. Experience applying statistical methods, developing mathematical models, and using large language models (LLMs) and other AI-assisted tools to support data analysis, insight generation, and decision-making Why Join RSSB ...

client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies.Keen to demonstrate the potential that Agentic & Gen AI has to offer ...

with the UNAIDS Reference Group We are seeking team members for two positions at Imperial College London for projects related to epidemiology, estimates, and modelling of the global HIV epidemic working closely with the UNAIDS Reference Group on Estimates, Modelling and Projections. Both positions are fixed-term … open to candidates at the postdoctoral and predoctoral level. The first position is for Research Manager for the UNAIDS Reference Group on Estimates, Modelling, and Projections, an international collaboration of experts on HIV epidemiology, surveillance, and modelling who provide scientific guidance to UNAIDS and partner organizations ...

with trading, structuring and risk management functions across the bank, you’ll gain broad exposure to a variety of classic and contemporary financial engineering modelling techniques and markets instruments to help drive business strategy. Statistical Modelling Quants Comprised of data scientists, developers, data engineers and researchers. The team … technical discipline such as Physics, Mathematics, Quantitative Finance, Economics, Statistics, Calculus, Computer Science, or other STEM subjects. Ideally, You Would Also Have Mathematical and programming skills (ideally in C++, or Python) Logical thinking and problem-solving abilities Excellent communication skills and a team-oriented attitude Fluent written and spoken ...

final outputs identifying root causes of discrepancies and driving resolution Configure and maintain business rules for tax reporting across multiple jurisdictions, validating that mathematical models align with tax compliance requirements Manage data flows across the tax reporting lifecycle identifying gaps, documenting requirements, and validating system output attributes against expected ...

accuracy and data integrity from source systems through transformation to final outputs Configure and maintain business rules for tax reporting across multiple jurisdictions, ensuring mathematical models align with tax engine logic and invoicing requirements Manage the complete lifecycle of data flows, identifying and resolving data gaps while driving reporting ...

Based in central London, this company are developers of a mathematical toolkit used by clients worldwide to solve complex numerical optimisation problems. Their unique software tackles real-world challenges in the energy sector, enabling more streamlined and efficient operations. As their business grows, they are seeking a Mathematical Software Engineer to join their growing team. This role centres around developing highly mathematical code in Java to implement the algorithms used to model and optimise complex industrial processes and logistics. They simulate factors such as resource dependencies and scheduling interactions. The output of these models will enable ...

information provided from clients through their actions, the role might also include analysing betting patterns and market behaviour. This role combines rigorous statistical and mathematical modelling with production engineering. You will take models from research through to deployment, writing well-tested, documented code that integrates into our internal … existing betting strategies and/or models across all sports Support Smartodds' clients in their pricing tasks by developing, maintaining and supporting the mathematical libraries behind our range of tools, models and software that delivers model predictions into production Perform statistical analysis of datasets, testing well-defined hypotheses ...

develop their career within a fast-paced sports trading environment. Key Responsibilities Analyse and interpret large and complex sports datasets. Develop and improve mathematical and statistical models. Apply probability and statistical techniques to sports data. Identify patterns, trends and opportunities within large datasets. Work closely with analysts, developers … both technical and non-technical stakeholders. Contribute to the development of tools and processes used within the trading environment. Skills & Experience Essential Strong mathematical and statistical ability. Experience working with large datasets and performing quantitative analysis. Strong understanding of probability and statistics. Experience with mathematical modelling ...

role To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities. Accountabilities AI Engineering & Platform Development Design and develop shared AI platform capabilities used across ...

Data Science Consultant with a strong focus on the Energy & Utilities sectors. In this role, you will apply advanced analytics, machine learning, and mathematical modeling to help major energy providers, utility networks, and public sector organizations drive evidence based decision making. You will work within an agile, cross-disciplinary ...

data science or related areas, including theoretical aspects of data science like machine learning (deep learning, statistical analysis, A/B testing, and mathematical modeling) Experience in building machine learning algorithms and infrastructure, such as: data pre- and post-processing, sampling and curation, ablation studies, evaluation Experience writing software ...

data science or related areas, including theoretical aspects of data science like machine learning (deep learning, statistical analysis, A/B testing, and mathematical modeling)Experience in building machine learning algorithms and infrastructure, such as: data pre- and post-processing, sampling and curation, ablation studies, evaluationExperience writing software using ...

collaborating effectively as part of a team. Key Responsibilities Analyse and interpret large, complex datasets to identify trends and insights. Develop and enhance quantitative, mathematical and statistical models. Apply probability and statistical techniques to real-world problems. Develop, test and validate analytical models and methodologies. Use programming languages … Skills & Experience PhD or MSc in Mathematics, Statistics, Physics, Computer Science, Data Science, or another highly quantitative discipline. Strong understanding of probability, statistics and mathematical modelling . Experience working with large datasets and performing detailed data analysis. Proficiency in one or more of Python, C#, C++ or Java ...

collaborating effectively as part of a team. Key Responsibilities Analyse and interpret large, complex datasets to identify trends and insights. Develop and enhance quantitative, mathematical and statistical models. Apply probability and statistical techniques to real-world problems. Develop, test and validate analytical models and methodologies. Use programming languages … Skills & Experience PhD or MSc in Mathematics, Statistics, Physics, Computer Science, Data Science, or another highly quantitative discipline. Strong understanding of probability, statistics and mathematical modelling . Experience working with large datasets and performing detailed data analysis. Proficiency in one or more of Python, C#, C++ or Java ...

cross-asset quant team in charge of the research and development of Deutsche Bank’s pricing models. The DB Analytics library is the inner mathematical layer of every DB pricing and risk management system, and it is used to price every cash and derivative transaction in rates, inflation, credit … intuition on complex concepts. Solid programming skills will be needed to implement a modeling prototype in C++. Rates Desk Strats — you will use mathematical modelling and programming to help the business drive revenue through advanced risk management analytics, market data build-out, and process automation. In this collaborative ...

Advanced graduate degree in a quantitative field such as Mathematics, Physics, Statistics, Engineering, Quantitative Finance, or Computer Science, with a strong foundation in advanced mathematical models and their implementation Experience in a front office trading environment, preferably within commodities or FX Proficiency in derivatives pricing models and hedging techniques ...

engineering, and agentic AI. Excellent Python programming skills and experience with modern AI and data science frameworks. Strong foundation in statistics, machine learning, and mathematical modelling. Experience designing evaluation frameworks for AI systems, including model performance and monitoring. Hands-on experience with Databricks, MLflow, Spark, or similar cloud-based ...