7 of 7 Applied Mathematics Jobs in the City of London

structure models and exotic instruments. Strong understanding of Rates derivatives modelling, particularly for callable and path-dependent products. Quantitative background in applied mathematics, financial mathematics, quantitative finance, or a closely related discipline. Proven experience assessing model methodology, assumptions, limitations, calibration approaches, sensitivities’ computation, and model performance. ...

offs, and recommendations clearly to technical and non-technical audiences. Requirements Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area. Experience working with frontier LLMs such as OpenAI’s GPTs, Anthropic’s Claude, and Google’s Gemini ...

onboarding materials accessible to non-technical colleagues and clients Skills and Qualifications Bachelor's degree (Master's preferred) in Computer Science, Applied Mathematics, Engineering, Statistics, Physics, or a related quantitative discipline First-Class or Upper Second-Class Honours (2:1 or above) from a UK or internationally ...

Bachelors, Masters or PhD in any discipline with strong academic performance in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. Demonstrated proficiency in a programming language or analytic tool such as R, SAS, Tableau, or VBA. High ...

closely related analytical role - Strong Python skills, with experience contributing to shared codebases - A solid grounding in statistics, applied mathematics and scientific analysis techniques - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical ...

Your Experience Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer or equivalent Strong grounding in applied mathematics, statistics and scientific practice Excellent Python skills for building, evaluating and deploying machine learning models Experience evaluating models through quantitative evidence and structured experimentation ...

read more here. Working at Wintermute You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time-series data. You will focus on developing alpha signal generation pipelines from data ingestion … conditions. Continuously refine model quality through systematic backtesting, live evaluation, and monitoring. Hard Skills Requirements: Degree in Computer Science, Machine Learning, Applied Mathematics, or similar quantitative discipline. Strong programming skills in Python and familiarity with ML libraries. Proven track record applying ML/DL to real-world ...