1 to 13 of 13 Probability Theory Jobs

management responsibilities - performance reviews and feedback.Desirable skills/Preferred Qualifications:· Experience working with cloud integrations, preferably AWS.· Strong analytical and numerical skills (e.g., statistics, probability theory, numerical methods, stochastic calculus).· Exposure to stress-testing and regulatory capital (e.g. FRTB) requirements for risk management systems.Purpose, Values and MindsetWe more »

Strong experience with ML frameworks: TensorFlow, PyTorch Experience with object detection, CV (computer vision), sensor fusion Proficiency in coding and data science Knowledge of Probability Theory (or other mathematical areas) Experience in full model engineering process - from data acquisition to local (or cloud) deployment Bonus points: TOP SECRET … Skills: ML, MACHINE LEARNING, PYTORCH, TENSORFLOW, GEOSPATIAL, OBJECT DETECTION, COMPUTER VISION, CV, SENSOR FUSION, PYTHON, C++, RUST, SOFTWARE ENGINEERING, ML ENGINEER, RESEARCH, DATA SCIENCE, PROBABILITY THEORY, DEFENSE more »

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 »

class mathematics-based degree from a top university or a 2:1 from Oxbridge A solid understanding of the fundamentals of statistical prediction and probability theory including, for example, an in-depth knowledge of regression and model fitting Intellectual curiosity, creativity and confidence to try new approaches An 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 »

and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and more »

and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and more »

and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ more »

and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ 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 »

with container management and deployment •Statistics and mathematics: Understanding of statistical concepts and methods such as statistical testing, regression analysis, time series analysis, and probability theory •You want to build something that is both technologically challenging and solves a real customer need more »

Financial products: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Financial mathematics: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Responsibilities This role is responsible for one or more functions within Quantitative Risk Management (QRM) who develops and maintains risk more »

and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and more »