1 to 25 of 46 Applied Mathematics Jobs in London

join our Innovation Hub and help shape the next generation of sports tracking technology. Working at the intersection of computer vision, applied mathematics and machine learning, you'll tackle some of the most technically challenging problems in sports technology. From reconstructing accurate 3D trajectories from multi-camera … developing the next generation of computer vision technology within our Innovation Hub. Working at the intersection of computer vision and applied mathematics, you'll transform raw 2D detections from camera systems into accurate 3D positional and trajectory data, ensuring outputs are physically plausible, robust and production-ready. ...

support to other researchers within the Group.What we are looking forYou should have (or about to receive) a PhD in Applied Mathematics, Engineering, Physics, or other related field, and a strong foundation and proven record in general mathematical modelling, mathematical techniques (analytical – numerical), scientific computing and numerical … methods.Experience or good knowledge with some or all of the following areas is highly desirable: computational and applied mathematics, especially numerical and applied analysis of partial differential equations (PDEs)/stochastic PDEs and stochastic processes, and physics, especially fluid dynamics and statistical physics.Given the technical ...

with direct exposure to inflation productsProfessional quant experience with options modelling, ideally in a front-office or trading-aligned environmentA higher qualification in Financial Mathematics, Engineering, Applied Mathematics, Physics, Computer Science, or relevant mathematical based degreeExcellent knowledge of interest rate and inflation derivatives modelling, ideally with … modelling concepts clearly to both technical and non-technical stakeholdersIt would also be useful to have:PhD in Financial Math, Engineering, Applied Mathematics, Physics, Computer Science, or relevant mathematical based disciplineHands-on experience with products such as YoY swaps, revenue swaps, LPI swaps, caps/floors ...

considered a significant advantage. Educational Background Applicants must 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 ...

cases. Work with the product and engineering team to move models from prototype to production. Evaluate model performance, reliability and robustness in applied settings. Spend time with customers to understand the operational context behind the data. Contribute to the technical direction … platform as one of the first ML hire. What we are looking for A degree in machine learning, computer science, engineering, physics, mathematics, applied mathematics, operations research or a closely related STEM field from a top university. Strong practical experience building machine learning models in Python ...

shelf tooling. Communicates precisely across technical and non-technical audiences including senior stakeholders. Degree in computer science, physics, applied mathematics, astrophysics, automatic control, mathematics, software engineering, electrical engineering, or a related quantitative field. Awesome to have Experience building end-to-end ML systems in early-stage ...

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 ...

analytics, and the analytical computation of risk and sensitivities that the desk relies on to hedge. If you are passionate about applied mathematics, curious, and ready to make an impact, we are looking for you. Job summary As a Quantitative Researcher/Developer, Associate, in the Fixed … hedging models to the trading desk. Job responsibilities Develop advanced analytical, pricing and risk-management models for fixed income products, grounded in rigorous mathematics - stochastic processes, martingale pricing, PDE and Monte Carlo methods, and numerical optimisation Develop analytical risk and sensitivity techniques - closed-form and adjoint/algorithmic-differentiation ...

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 ...

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 ...

analytics, and the analytical computation of risk and sensitivities that the desk relies on to hedge. If you are passionate about applied mathematics, curious, and ready to make an impact, we are looking for you.Job summaryAs a Quantitative Researcher/Developer, Associate, in the Fixed Income … trading and market making, and robust financial risk controls.Job responsibilitiesDevelop advanced analytical, pricing and risk-management models for fixed income products, grounded in rigorous mathematics — stochastic processes, martingale pricing, PDE and Monte Carlo methods, and numerical optimisationDevelop analytical risk and sensitivity techniques — closed-form and adjoint/algorithmic-differentiation ...

senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating ...

maintaining awareness of industry developments, regulatory expectations, and market practices.Required Qualifications, Capabilities, and Skills:Strong quantitative background in mathematical finance, statistics, applied mathematics, physics, engineering, computer science, or a related discipline.Practical coding ability in Python or a comparable programming language, with experience using data analysis to investigate ...

QualificationsMust-Have Qualifications Proven experience developing and deploying ML models in production settings Master’s or PhD in Engineering, Computer Science, Applied Mathematics, Data Science, Operations Research, or a related field Strong expertise in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Demonstrated depth ...

regional budget efficiency and profitability Who we are looking for: Education & Experience Bachelor’s degree in computer science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field or relevant certifications 5+ exposure to IT architecture and solutions for data flows among systems and applications 3+ business ...

results and incremental revenue generation.Ideation, design, and execution of next-generation investment management capabilities.QualificationsRequired:B.S. in a quantitative discipline (Computer Science, Applied Mathematics, Statistics, or related field).Expert-level proficiency in programming languages (R or Python) and experience applying these to agentic AI systems (e.g., LangChain, AutoGen ...

CICD-style implementation/release methodologies with a large complex codebase.Master’s or PhD in Computer Science, Physics, Engineering, Statistics, Applied Mathematics, or related technical field.Additional Relevant ExperiencePrior role as a quantitative developer supporting a multi-asset systematic trading business.Experience with a broad spectrum of finance-relevant ...

insights, trade-offs, and recommendations clearly to technical and non-technical audiences.RequirementsExperience 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, including ...

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

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

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

wide community of stakeholders (business, data, IT) and understand their needsRequired EducationBachelor's degree in computer science, software or computer engineering, applied maths, physics, statistics, or a related field or equivalent experienceUnder the responsibility of a Data Architect, your mission will be to:Build, deliver, test, maintain data ...

Azure AI search, Azure OpenAI, Azure blob storage etc.Master's degree or above in Machine learning/data science, computer science, applied mathematics or otherwise research-based fieldWhat Would Make You Stand Out:Passionate about the power of data and predictive analytics to drive better business outcomes ...

particular focus on swaps, employee incentive schemes, embedded derivatives, hedging instruments, and public and private structured credit investments Leveraging technology in applied mathematics, statistics, computer science, and economics to implement Monte Carlo simulations, binomial trees, option pricing models, and securitisation waterfall models Leading all aspects of client … reports and delivering analyses to fund investment and finance teams, corporate management groups, and board committees Requirements: Bachelors, Master’s, or PhD in Finance, Mathematics, Statistics, or a related quantitative discipline Demonstratable relevant experience at a fund, investment bank, consultancy, or related financial services institution (Fewer years of relevant ...