26 to 35 of 35 Probability Theory Jobs in London

our own high standards. Requirements: Solid experience in slot game mathematics University Degree in Mathematics or other numerate discipline such as Statistics, Physics or Engineering. Good knowledge of Combinatorics, Probability Theory and Quantitative Analysis. Good knowledge of Microsoft Excel Good knowledge of programming Attention to detail Well organised Team player Fluency in English Nice to have: OOP experience More ❯

PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Mathematics skills to support the above: calculus, probability theory and linear algebra. Desirable Experience in one or more of: distributed computing, efficient computing based on low-precision arithmetic, deep learning models including large generative models for More ❯

credit risk models Derivatives pricing models Optional: Capital models (Economic/Regulatory) Corporate credit risk models (IRB, PD/LGD/EAD) Competencies: Essential: Good background in Math and Probability theory - applied to finance. Good knowledge of Data Science and Statistical inference techniques. Good understanding of financial products. Good programming level in Python or R or equivalent. Good More ❯

credit risk models Derivatives pricing models Optional: Capital models (Economic/Regulatory) Corporate credit risk models (IRB, PD/LGD/EAD) Competencies: Essential: Good background in Math and Probability theory - applied to finance. Good knowledge of Data Science and Statistical inference techniques. Good understanding of financial products. Good programming level in Python or R or equivalent. Good More ❯

Critical Sections, Synchronization Primitives (Mutexes, Semaphores, Monitors, Locks), Deadlocks and Deadlock Prevention/Detection/Avoidance, and Condition Variables. Quantitative Finance Knowledge: Solid understanding of quantitative finance concepts, including probability theory, stochastic calculus, and financial derivatives. Specific experience with stochastic processes is essential. Performance Tuning: Experience with performance profiling tools and optimization techniques. Operating Systems: Experience with Linux More ❯

Critical Sections, Synchronization Primitives (Mutexes, Semaphores, Monitors, Locks), Deadlocks and Deadlock Prevention/Detection/Avoidance, and Condition Variables. Quantitative Finance Knowledge: Solid understanding of quantitative finance concepts, including probability theory, stochastic calculus, and financial derivatives. Specific experience with stochastic processes is essential. Performance Tuning: Experience with performance profiling tools and optimization techniques. Operating Systems: Experience with Linux More ❯

frameworks such as multiprocessing or multithreading. Solid understanding of modern software development practices, including version control, unit testing, and debugging. Strong foundation in quantitative analysis, statistics, mathematical modelling, and probability theory. Excellent problem-solving and communication skills, with the ability to quickly understand and navigate complex systems. To apply, either respond to this advert or send your CV directly More ❯

frameworks such as multiprocessing or multithreading. Solid understanding of modern software development practices, including version control, unit testing, and debugging. Strong foundation in quantitative analysis, statistics, mathematical modelling, and probability theory. Excellent problem-solving and communication skills, with the ability to quickly understand and navigate complex systems. To apply, either respond to this advert or send your CV directly More ❯

experience using modern C++ (at least C++17, ideally later) Deep-level understanding of financial markets (equities, derivatives, options, futures) is crucial Proficiency in quantitative analysis, mathematical modeling, statistics, and probability theory Knowledge of options and products traded by volatility traders, e.g. Equity Options, Index Options, Variance/Volatility Swap At least a bachelor’s degree in Maths, Computer More ❯

experience using modern C++ (at least C++17, ideally later) Deep-level understanding of financial markets (equities, derivatives, options, futures) is crucial Proficiency in quantitative analysis, mathematical modeling, statistics, and probability theory Knowledge of options and products traded by volatility traders, e.g. Equity Options, Index Options, Variance/Volatility Swap At least a bachelor's degree in Maths, Computer More ❯