1 to 25 of 44 Applied Mathematics Jobs in London

Computational Statistics and Applied Mathematics Expert About the Project We're building a large-scale benchmark to test how well advanced AI systems can solve hard scientific and engineering problems. As a task designer, you'll create challenging computational problems that check whether AI can use real … have graduate-level expertise (MS or PhD required; PhD preferred, or MS with 10+ years of relevant experience) in statistics, applied mathematics, or a closely related quantitative field, with real hands-on experience using specialized computational packages — not just theoretical knowledge. You have written code using ...

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. ...

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. QTR is an expert quantitative modelling group at J.P. Morgan … 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 ...

model design and evaluation, and ensure that the resulting systems are performant, reliable, and maintainable. You will work at the intersection of Computer Science, Mathematics, and Statistics — building high-performance tools that enable world-class research while maintaining a high engineering standard. ResponsibilitiesPartner with PhD researchers to design, implement … stakeholders on ownership, execution, and prioritizationFoster engineering consistency, standards, and best practices within ResearchRequirementsBachelor's degree (or higher) in Computer Science, Applied Mathematics, Statistics, or a related quantitative field5+ years of professional software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design)Demonstrated mathematical maturity ...

develop awareness of responsible AI practices, including risk management and ethical use Education PhD in Statistics, Atmospheric Science, Climate Science, Applied Mathematics, or a related discipline MSc candidates with relevant industry experience may be considered Responsibilities Develops statistical and mathematical models to quantify tropical cyclone risk ...

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 ...

design discussions, and knowledge sharing Drive adoption of AI best practices Experience & Qualifications: Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, or related quantitative field, or equivalent industry experience 6+ years (Master’s) or 4+ years (PhD) of hands-on experience applying machine ...

4. Reinforcement learning (e.g., multiarmed bandit). Demonstrable working experience of python and SQL, (knowing R is also helpful). Experience collaborating on applied statistical research or designing commercial statistical features/applications Experience … with AI applications Education Advanced degree in Statistics, Computer Science or a closely related field such as bioinformatics, econometrics, economics or applied mathematics Communicating Effectively Driving Continuous Improvement Driving for Results Interacting with People at Different Levels Optimizely is committed to a diverse and inclusive workplace. Optimizely ...

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 … 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 Greeks ...

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 ...

globally distributed department (US, Japan, UK). MINIMUM QUALIFICATIONS Masters or PhD degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative fields, or equivalent industry experience 3+ years of experience managing engineering teams, with a focus on technical leadership, team development, and delivering ...

training/fine‐tuning neural networks using frameworks like PyTorch Bachelor's degree in Machine Learning, Computer Science, Data Science, Applied Mathematics, or related field Production ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow ...

will translate research and modeling insights into scalable, production‐ready systems. Who You Are MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field 8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency ...

turn inputs into actions, and uphold trust through integrity. Skills and Competencies Experience and/or exposure in data science, machine learning, or applied artificial intelligence, including experience working on projects or collaborating with data scientists and engineers Hands-on experience building, training, and evaluating machine learning … ethical governance, and fostering a culture of responsible AI adoption across the organization. Education Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field is required; a Master's or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead ...

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 Experience Prior role as a quantitative developer supporting a multi-asset systematic trading business. Experience with a broad ...

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 ...

point of contact for theEMEAbusiness, coordinating priorities and delivery across stakeholders. Required qualifications, capabilities and skills Demonstrated expertisein quantitative finance and applied mathematics, including areas such as stochastic calculus, numerical methods, time series analysis, and optimization. Strong programming capabilityinPython and/or C++, with evidence of delivering … with the ability to explain quantitative topics clearly to trading and technology stakeholders. Advanced degree(Master’s or PhD) in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Computer Science, Quantitative Finance, or similar). Preferred qualifications, capabilities and skills Prior experiencein a front-office quantitative research role within arates ...

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 ...

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 ...

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 ...

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 field What Would Make You Stand Out: Passionate about the power of data and predictive analytics to drive better business outcomes ...

measurable workflow or decision impact. Your Qualifications Bachelor's or advanced degree in Computer Science, Software Engineering, Data Science, Statistics, Applied Mathematics, or a related field; equivalent production ML or data engineering experience considered. 8+ years of hands‐on experience building, deploying, and operating production ML systems ...

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 ...

quantitative analysis to trade in global financial markets. We specialise in options and derivatives market making, where your skills can be directly applied to have a real impact. At Maven, we believe exceptional careers are built deliberately. Our graduate programme is designed for a small number of high … Quant Researcher and Emerging Talent teams Who you are: Key criteria: A Bachelor's, Master's or PhD student in applied mathematics, statistics, engineering or physics Relevant programming experience in at least one language (Python, C++, C#) Proactive interest in improving existing trading strategies and identifying ...