6 of 6 Probability Theory Jobs in the UK

balance sheet Required Qualifications, Capabilities, and Skills Demonstrated quantitative and problem-solving skills, including research abilities Strong understanding of advanced mathematics in financial modeling (probability theory, stochastic calculus, statistics) Hands‐on experience with data analytics, large data sets, and tools for analysis and visualization Proficiency in code design … Computer Science, etc. Proven quantitative model development or model validation experience Markets experience and familiarity with trading concepts and terminology Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic processes, partial differential equations, and numerical analysis Equal Employment Opportunity We recognize that our people are our strength ...

Analyst or Quantitative Modeller with a strong track record of delivering impactful models Deep expertise in mathematical and statistical modelling techniques Strong understanding of probability theory, statistical distributions, and Monte Carlo simulations Advanced Python skills for modelling, analysis, and data manipulation Experience with model validation, backtesting, and performance ...

engagement skills Experience with STL or Boost C++ template libraries Desirable Skills & Experience: Experience with HTML5, JavaScript and/or Python Strong understanding of probability theory and statistical mathematics Experience developing regulated gaming products for land-based terminals or casino machines Experience mentoring or leading developers within ...

model architectures, optimisation, evaluation and scaling. Ability to design, execute, analyse and clearly communicate ML experiments. Mathematical foundations to support the above, including calculus, probability theory and linear algebra. Evidence of research ability, such as conference or workshop submissions, publications, technical reports, open‐source projects or impactful industrial ...

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 ...

tech stack. Experimentation & Insights Design and execute rigorous A/B tests to validate new features, algorithms, and product iterations. Apply advanced statistical and probability theory to evaluate model performance and user behavior. Utilise our extensive data infrastructure to uncover insights that drive the AI product roadmap forward. ...