1 to 25 of 32 Applied Mathematics Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

perspectives, turn inputs into actions, and uphold trust through integrity. Skills and CompetenciesExperience and/or exposure in data science, machine learning, or applied artificial intelligence, including experience working on projects or collaborating with data scientists and engineersHands-on experience building, training, and evaluating machine learning and deep … risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization.EducationDegree 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 requiredResponsibilitiesLead the design ...

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 … technical reports and delivering analyses to fund investment and finance teams, corporate management groups, and board committeesRequirements:• 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 ...

serverless technologies- Experience building large-scale machine learning and AI solutions at Internet scalePreferred qualification - PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or experience working with or evaluating AI systems- Experience in data applications using large scale distributed systems (e.g. ...

warehousing, AI, ML, governance, transactional systems, app development, and streaming.Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.A track record of driving complex projects to completion in fast-paced, customer-facing environments.About DatabricksDatabricks is the Data and AI company. ...

frameworks for Software development and experience with AI-native solutions using context engineering techniques.A degree in quantitative subjects such as Engineering, Applied Mathematics, Physics, Software EngineeringSkills desired:Experience with real-time streaming analytics tech like Kafka/FlinkExperience with cloud container technologies, e.g. AWS, Azure, GCP, Docker ...

based software tools and libraries in a fast changing environmentMasters or PhD degree in a quantitative subject such as Computer Science, Applied Mathematics, Statistics, or related fields from a top ranked universityDemonstrate excellent communication, analytical and quantitative skillsPreferred Experience3+ years of experience with cash equities strategies doing ...

architect and implement code to address high-level requirementsExperience implementing high-performance algorithms & grid computationsMaster's/PhD in computer science, applied mathematics, financial engineering, or an equivalent field from a top universityStrong sense of ownership, ability to work independently as well as in a teamInterest ...

implement code to address high-level requirements Experience implementing high-performance algorithms & grid computations Master's/PhD in computer science, applied mathematics, financial engineering, or an equivalent field from a top university Strong sense of ownership, ability to work independently as well as in a team ...

well‐defined areas of the platform with support from more senior engineers.Required QualificationsA degree (BSc or MSc) in Computer Science, Engineering, Applied Mathematics, or a related field, or equivalent practical experience.Strong foundations in computer science (e.g. algorithms, data structures, operating systems, distributed systems).Experience developing software ...