10 of 10 Remote/Hybrid Probability Theory Jobs in the UK

businesses leveraging a wide variety of mathematical and computer science methods including advanced calculus, C++, object‐oriented design, Python, mathematical finance, statistics, probability and Machine Learning Develop pricing models using numerical techniques for valuation including Monte Carlo Methods and partial differential equation solvers Build a culture of responsible finance … analytics role, ideally in the financial sector Must have strong technical/programming skills; C++/python, Exposure to Market Data; Statistics and Probability based calculations; Using probability theory to evaluate the risks of complex financial instruments, solve analytical equations and design numerical schemes to analyze complex ...

computer science methods and tools including hardware acceleration, advanced calculus, Java, Python, kdb, Structured Query Language (SQL), mathematical finance/programming and statistics and probability Collaborate closely with Traders and technology professionals. Work in close partnership with control functions such as Legal, Compliance, Market and Credit Risk, Audit, Finance … financial sector Must have technical/programming skills. Preferably use of Python, Java, SQL and/or q. Exposure to Market Data; Statistics and Probability based calculations; Using probability theory to evaluate the market behaviour, solve analytical equations and design numerical schemes to create pricing and risk ...

calculus, C++ (including STL), C#, .NET, Java, object‐oriented software design, Python, kdb, Structured Query Language (SQL), mathematical finance/programming, and statistics and probability, potentially incorporating hardware acceleration. Develop sophisticated pricing models using advanced numerical techniques for valuation, such as Monte Carlo methods and partial differential equation solvers. … Markov functional) and products (Swaptions, CMS, Path‐Dependent Exotics). Excellent technical/programming skills in C++ and Python. Proficiency in statistics and probability‐based calculations, including using probability theory to evaluate risks, solve analytical equations, and design numerical schemes for complex financial instruments. Strong understanding ...

inferring demographics, yield optimisation, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, recommendations, reinforcement learning, optimisation, probability theory, and machine learning, using code for statistical analysis and tool building, using both general-purpose software and statistical languages. The ideal candidate ...

learn, TensorFlow, or PyTorch. Proven ability to design and implement complex machine learning solutions and guide 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 ...

align with the firm's risk and conduct standards. Qualifications Demonstrated software engineering ability in C++ and Python with practical experience. Knowledge of statistics, probability theory, and their application to the evaluation and risk assessment of complex financial instruments. Ability to design and implement numerical schemes and solve ...

risk and conduct standards. What we’ll need from you Demonstrated software engineering ability in C++ and Python with practical experience. Knowledge of statistics, probability theory, and their application to the evaluation and risk assessment of complex financial instruments. Ability to design and implement numerical schemes and solve ...

inferring demographics, yield optimisation, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, recommendations, reinforcement learning, optimisation, probability theory, and machine learning, using code for statistical analysis and tool building, using both general‐purpose software and statistical languages. What ...