14 of 14 Probability Theory Jobs in the UK

implement production software in modern C++ and Python, including object-oriented design principles and production-quality development practices. Applied knowledge of statistics and probability, including the use of probability theory to evaluate complex financial instrument risk, solve analytical equations, and design numerical schemes for complex contract analysis. ...

BigQuery). Programming & Modelling: Strong proficiency in Python for statistical modeling, forecasting, and machine learning. Statistics & Math: Deep understanding of statistical inference, regression analysis, probability theory, decision trees, and hypothesis testing (p-values, confidence intervals, Bayesian testing etc.). Data Visualization: Hands‐on experience building interactive dashboards using ...

Java, Rust, and advanced AI technologies to power the next generation of algorithmic trading systems. Conduct EMEA equity market microstructure research, applying advanced statistics, probability, and mathematical finance to extract actionable trading insights. Backtest and prototype quantitative research strategies, leveraging Python and kdb+ to validate and optimize algorithmic trading … focusing on algorithmic trading systems. Deep proficiency in Java and Python, with a strong foundation in software design and development principles. Proven experience applying probability theory, statistics, and mathematical finance to solve complex analytical equations and analyze market data. Demonstrated experience utilizing AI technologies to design and build ...

learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track record of mentoring junior ...

learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track record of mentoring junior ...

learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track record of mentoring junior ...

Strong understanding of software design principles and object-oriented programming. Experience working with market data. Strong knowledge of statistics and probability. Ability to apply probability theory and numerical techniques to complex financial instruments. Experience with quantitative methods and mathematical finance. Understanding of investments and financial products. Strong communication … discipline is expected, with a Master's or PhD preferred. Core Technology Stack C++ | Python | C#/.NET | Java | SQL | kdb | Mathematical Finance | Statistics & Probability | Monte Carlo | PDEs | Market Data | Quantitative Analytics | Pricing & Risk We offer Opportunity to work on bleeding-edge projects Work with a highly motivated ...

implement production software in modern C++ and Python, including object-oriented design principles and production-quality development practices. Hands-on experience applying statistics, probability theory, and mathematical techniques to evaluate and model the behaviour of complex derivative products, including FX Options. Familiarity with market data concepts and their ...

modern deep learning architectures, sequence modeling, and generative AI frameworks (e.g., Transformers, Flow Matching, Diffusion, VAEs). Mathematical Rigor: Solid foundation in optimization, probability theory, linear algebra, and statistical machine learning. Engineering Excellence: Excellent programming skills in Python and PyTorch, with experience writing clean, scalable code for model ...

banks and multi-strategy hedge funds. Who will love this job A scientist – you are comfortable with numerical methods, linear algebra, partial differential equations, probability theory and statistics An engineer – who has a passion for computer science, system performance, clean code and architecture with an owner mentality ...

hypotheses, not just ship features. Experience in financial markets, algo-trading, or prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments ...

Computer Science, Economics or Financial Engineering. 3–5 years as a quantitative analyst/programmer in asset management or investment banking. Strong grounding in probability theory, stochastic calculus and statistical inference. Experience across liquid and illiquid assets, asset allocation and portfolio optimisation. Practical exposure to bond pricing, stochastic ...

banks and multi-strategy hedge funds. Who will love this job A scientist – you are comfortable with numerical methods, linear algebra, partial differential equations, probability theory and statistics An engineer – who has a passion for computer science, system performance, clean code and architecture with an owner mentality ...

team. You will build analytics for cross-asset XVA functionality and support trading desks, controls, and international clients. Role emphasizes Monte Carlo methods, probability theory, and numerical techniques, with strong C++ and Python programming, and collaboration across MQA and control functions. #J-18808-Ljbffr ...