1 to 25 of 55 Applied Mathematics Jobs in London

global analytics platform. This role is ideal for someone who enjoys working at the intersection of software engineering, data, and applied mathematics, and who is comfortable reasoning about complex systems, models, and workflows. The role has a balanced 50/50 split between C#/.NET backend … tested code under time pressure while maintaining a strong focus on correctness and performance. Required Qualifications & Experience Bachelor’s or Master’s degree in Mathematics, Applied Mathematics, Engineering, Physics, or a similarly quantitative discipline, or Computer Science (or closely related). Up to 10 years ...

Description Mathematics Specialist Position: Mathematics Specialist Type: Contract Compensation: $80–$90/hour Location: Remote About the Opportunity This opportunity is for experienced Mathematics Experts with a PhD in Mathematics or a closely related field to contribute to advanced AI research and evaluation projects. … apply your mathematical expertise to solve, review, and explain complex problems across undergraduate and graduate-level mathematics while helping improve the reasoning and performance of next-generation AI systems. No prior AI experience is required. Your mathematical knowledge, research experience, and analytical reasoning skills are the primary qualifications ...

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 ...

deliver results and meet critical deadlines. What we are looking for Highly numerical degree (Masters required and PhD level desirable) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics, or Engineering Several years of relevant work experience or equivalent educational training Technical skills: Statistics, Probability Theory, Econometrics … Financial Mathematics Experience developing and implementing large quantitative models, managing large data sets. Proven leadership abilities, working across organizational lines. Strong programming skills; SQL, Python, VBA, Latex Strong technical writing and clear verbal communication skills Experience of, and ability to work under pressure and deliver to tight deadlines. Ability ...

deliver results and meet critical deadlines. What we are looking for Highly numerical degree (Masters required and PhD level desirable) in Statistics, Financial Mathematics, Applied Mathematics, Economics, Physics, or Engineering. Several years of relevant work experience or equivalent educational training. Technical skills: Statistics, Probability Theory, Econometrics ...

language models by applying advanced mathematical reasoning, problem-solving, computational thinking, and clear written communication. The ideal candidate should have a solid foundation in mathematics, particularly at the level expected in engineering entrance exams, as well as graduate or PhD-level programs. You should be able to break down … your chance to future-proof your career in an AI-first world! What does day-to-day look like: Design original and challenging mathematics problems that test the reasoning limits of large language models, especially in multi-step, abstract, and proof-based settings. Solve problems independently and write detailed ...

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 ...

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 … market making, and robust financial risk controls. 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 ...

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 … market making, and robust financial risk controls. 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 ...

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 ...

audiences, translating complex analytics and AI/ML concepts into clear, layman’s terms.QualificationsMinimum Requirements3–5+ years of experience in data science or applied machine learning, preferably in infrastructure, environmental, or urban development sectors.Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL, with experience … infrastructure and environmental projects.Experience mentoring and coaching technical teams, promoting collaboration and innovation.Preferred QualificationsMaster’s degree in Computer Science, Statistics, Applied Mathematics, or related field, with a focus on data science applications in infrastructure or environmental domains.Familiarity with time-series forecasting, optimisation, and causal inference, particularly ...

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 ...

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 ...

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 ...

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 EducationAdvanced degree in Statistics, Computer Science or a closely related field such as bioinformatics, econometrics, economics or applied mathematics CompetenciesCommunicating EffectivelyDriving Continuous ImprovementDriving for ResultsInteracting with People at Different LevelsOptimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity ...

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 ...

collaborate in a globally distributed department (US, Japan, UK).MINIMUM QUALIFICATIONSMasters or PhD degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, or related quantitative fields, or equivalent industry experience3+ years of experience managing engineering teams, with a focus on technical leadership, team development, and delivering ...

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 ...

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 ...

when possible, to improve regional budget efficiency and profitability Requirements 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 ...

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 ...