1 to 7 of 7 Permanent Probability Theory Jobs in England

an engineering role with a degree in Mathematics, Engineering, Statistics, Computer Science or Physics. Advanced degree preferred but not required. Knowledge of Linear Algebra, Probability Theory, Statistics and Optimization, including regression analysis, parameter estimation, factors selection, PCA, hypothesis testing, time series, queuing theory, survival analysis, clustering, linear more »

Bachelor’s degree in Physics, Statistics, Mathematics, or Computer Science. Experience: Experience in developing and implementing quantitative models. Strong background in statistical analysis and probability theory. Proficiency in Python (experience with libraries such as NumPy, pandas, scikit-learn, etc.). Skills: Strong problem-solving and analytical skills. Ability to more »

in Computer Science, Mathematics, Statistics, or a related STEM field from a top-ranked university. Proficiency in quantitative analysis, mathematical modeling, statistics, regression, and probability theory. Sound knowledge of professional software development methodologies, version control systems, unit testing, debugging tools, and microservices architecture. Excellent communication, problem-solving, and analytical more »

requirements are for: Master or Doctorate in Computer Science, Financial Engineering, Financial/Applied/Pure Mathematics, Physics, or a related discipline. Academic skills: probability theory (including stochastic processes) statistics (time series analysis, process estimation) numerical methods (interpolation, integration, regression, root-finding, optimization, linear algebra, Monte-Carlo) Fixed more »

university degree in computer science, preferably combined with additional courses in mathematics or mathematical statistics. Intermediate to strong understanding of basic combinatorics, statistics, and probability theory. Know how to create simulators using random number generators that can execute a large number of iterations as time efficiently as possible and more »

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 more »

Contribute to the development of the Analytics libraries Expertise expectation Expertise in pricing equity options and volatility modelling Requirement Passionate about Mathematics, Statistics, and Probability Theory Expertise in Equity Options and Volatility 4 years of professional experience Proficient in either Python, Matlab, or C++ Excellent academic record more »