14 of 14 Remote/Hybrid Applied Mathematics Jobs in 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. ...

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. ...

marketing effectiveness/MMM and analytics/data science. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Strong proficiency in Python, R, SQL, or similar tools. Experience with Databricks, Azure, or other cloud/data platforms ...

Modelling (MMM) and related marketing effectiveness methodologies. Bachelor’s or Master’s degree (or equivalent) in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Business Analytics, Marketing, or a related analytical field. Strong technical proficiency in Python, R, SQL, or similar analytics tools; experience with Databricks, Azure ...

Technical Skills Experience in econometrics, MMM, or marketing effectiveness. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Proficient in Python, R, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms ...

contribute to a supportive culture of learning and innovation. What We’re Looking For Familiarity and some experience with machine learning research or applied ML, ideally with expertise in probabilistic models and Bayesian statistics. Experience bringing ML models from prototype to production with supervision. Strong analytical … problem‐solving abilities, and confidence working across disciplines following established guidance. Advanced degree (MSc/PhD) in Computer Science, Statistics, Applied Mathematics, or a related field — or equivalent practical experience. Clear communication skills and a collaborative mindset. Bonus Points PhD in a relevant field. Experience with large ...

validation, deployment,monitoringand long-term maintenance. Deeply trained in a quantitative discipline, ideally educated to PhD level in Computer Science, Statistics, Applied Mathematics,Physicsor a related field. Equivalent depth developed through industry experience is equally valued, we care about the depth ofexpertiserather than the credential. Fluent ...

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 ...

against real-world medical outcomes Contribute to scientific publications and technical documentation Profile PhD or strong MSc in biostatistics, epidemiology, statistics, applied mathematics, or a related field Experience with Bayesian inference and probabilistic modelling Familiarity with health data, physiological signals, or medical datasets Strong programming skills ...

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 ...

benchmarking, trending, and competitive analysis. Key Qualifications Postgraduate degree (MS or PhD) in a quantitative field of study including economics, statistics, applied mathematics, data science, business, or a related discipline. 10+ years' professional experience in ad tech research, marketing insights, and advanced analytics within an advertising platform ...

mathematical and technical problem-solving ability The ability to independently lead complex technical and research problems A PhD in CFD, FEA, Applied Mathematics or a closely related discipline would be highly relevant, although candidates with equivalent high-level industrial experience will also be considered. Desirable Experience Experience … direction of a sophisticated engineering software platform. Rather than moving into people management, you will become a senior technical authority, combining research, physics, mathematics and software engineering to solve complex real-world engineering problems. The position can be based remotely in the UK, Spain, France, Germany, Italy ...

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 ...