15 of 15 Mathematical Modelling Jobs in London

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 ...

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 ...

seeking an experienced Data Science consultant to join our team. The ideal candidate will have a strong background in data science, mathematical modelling and ML, with a focus on using advanced analytics techniques to support data centric decision making in both public and private sector organisations. Work … solutions, and with strong ability to communicate approaches, and findings to technical and non-technical audienceExperience of working across the full analytics and modelling lifecycle - problem formulation, exploratory data analysis, model design, build, testing and handoverExperience working with common tools like python, SQL, Excel and data visualisation solutions ...

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 ...

statistical programming language, e.g. R or Python Proficiency with data visualization and reporting tools, e.g. Tableau or PowerBI Strong proficiency in data analysis or mathematical model development, with a strong understanding of statistics concepts such as multivariate testing Experience using code repositories, e.g. GitHub Experience with Amplitude a plus ...

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 ...

However, they must demonstrate the ability and willingness to quickly understand technical concepts such as: EO, IR, SAR and RF sensors. The electromagnetic spectrum. Mathematical models. Edge deployment. Machine Learning training data. Synthetic data and simulation. Once up to speed, the Founder’s Associate will need to feel comfortable ...

rigorous quantitative chops from working on fields such as scaling laws in LLMs, statistical physics, dynamical systems, applied statistics etc. You’re comfortable building mathematical models of empirical phenomena and know how to extract signal from noisy data. We want to emphasize that people who feel they ...

Cypress Labs in London is building a system that autonomously constructs, refines, and reasons with mathematical models of real businesses, to simulate, plan, decide, and act. You will write software across the entire stack, every day. You will work on infrastructure, data pipelines, integrations, agent orchestration, and domain modeling ...

potential of AI for professional engineers. We’re a compact, talent-dense technical team, with deep domain expertise in machine learning, formal verification and mathematical models of program semantics. Join us to develop the next frontier of formal reasoning and software engineering. Proof follows function. The Role ...

backed Column). We're working in person in London. The Role We're building a system that autonomously constructs, refines, and reasons with mathematical models of real businesses, in order to simulate, plan, decide, and act. You'll bring this system to life by writing software across ...

Datatech Analytics in London is seeking a Data Science Consultant with a strong focus on Energy & Utilities to apply advanced analytics, machine learning, and mathematical modeling to support energy providers, utility networks, and public sector bodies. You will work in an agile, cross-disciplinary team alongside software engineers ...

businesses and simulates operations to help owners understand and manage their companies. We work in person in London, developing a system of agents and mathematical models that guide decision-making and planning. You will extend the core platform, build across the stack, and collaborate with early design partners ...

client is a well known global Quantitative risk management and market data businessMy clients has created a new way to build and share complex mathematical models with a point and a click. Their products are used by hundreds of finance professionals with over 800 schemes and 100bn of assets … under analysis. They use a client-project driven approach to agile software development, shipping early and often, with an exciting blend of industry, mathematical, and software development expertise. As a rule, if it's not simple, we bounce ideas around until it is. As a young company, remote working ...