10 of 10 Mathematical Modelling Jobs in London

corresponding statistics like K‐means, Bayesian, Clustering Strong technical skills with Python along with NumPy, Pandas, Scikit‐Learn Machine learning experience -> predictive and prescriptive modelling Data wrangling and data cleansing experience Strong analytical skills Any experience with Node.JS would be beneficial. Statistical/mathematical background Business Verticals: Telecom … Machine learning, Deep learning, Fuzzy logic, data visualisation, statistics, Derived data analysis etc. Programming and process trouble‐shooting experience will be preferred. Exposure to mathematical modelling will be preferred. Understanding of statistics and statistical modelling will be required. Good process knowledge related to supply chain, iron ...

sophisticated models for fair value measurement across multiple business lines. You should be passionate, curious, and ready to make an impact. Job Responsibilities Develop mathematical models for the valuation of credit derivatives, structured lending facilities, and illiquid collateral Implement methodologies for model calibration and build analytics to manage model ...

models shaping the future of global trading. The Role Depending on your track, you will focus on engineering high-performance systems or developing sophisticated mathematical models, all while learning how technology powers global markets. Key Responsibilities Designing and enhancing advanced trading systems and analytics platforms that handle massive data ...

Bowleys Oversight is building a new category of residential property decision intelligence. We combine data, mathematical modelling and AI to help landlords, investors and property owners make better decisions. This is an opportunity to work directly with the founder and help build the analytical and technical foundations … business from the ground up. What you'll do Design and build mathematical models for real-world property decisions. Develop Python-based tools and internal software. Analyse large property datasets to identify patterns and opportunities. Build decision models for pricing, rental performance, investment and asset management. Experiment with ...

making, ownership, and continuous innovation. This is a high-impact leadership mandate for a seasoned engineer to join a global leader in next-generation mathematical modelling. As a "Staff" level hire, you will be a vital senior leader within the business, building agentic AI systems that have literally never ...

hold a PhD or equivalent doctoral degree in a relevant discipline, including but not limited to: Mathematics and Theoretical Foundations Mathematics Applied Mathematics Statistics Mathematical Modeling Artificial Intelligence and Data Sciences Data Science Natural Language Processing (NLP) Knowledge Representation and Reasoning Computer and Information Sciences Computer Science Software Engineering ...

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 ...

Join our global Quantitative Trading & Research (QTR) team, where you’ll apply your expertise in Derivatives Modelling, Financial Engineering, Data Science, and Quantitative Development. As part of JP Morgan’s leading QTR Group, you’ll innovate with unique analytics and mathematical models, enhancing business practices through automation. ...

every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong expertise in statistical modelling, probability, and numerical methods, required to develop robust catastrophe risk models Proficiency in programming languages such as Python, R, or Julia to build … maintain scalable modelling frameworks Experience analysing climate and atmospheric data, with knowledge of tropical cyclone processes preferred Ability to collaborate effectively in multidisciplinary teams, including use of version control systems (e.g., Git) for shared code development Strong analytical thinking and problem-solving skills to interpret complex hazard behaviours ...

across asset classes such as Equity, Rates, FX, and Commodities. Need someone who can independently write pricing algorithms, validate quantitative outputs, and explain the mathematical models and pricing papers in detail. The candidate should be capable of verifying pricing numbers against market standards and supporting client-facing validation documentation. … Strong Java experience is required because the team works primarily in a Java-based environment. Specifically need someone who understands both quantitative modelling and high-performance engineering. Requires strong experience in performance optimization, scalable pricing implementations, and low-latency quantitative systems. Many quants focus only on model correctness ...