14 of 14 Permanent Probability Theory Jobs in the UK

spearhead the design and implementation of advanced quantitative models for pricing, volatility surfaces, and risk management. Leverage your strong background in stochastic calculus and probability theory to develop robust models, and translate them into efficient, production-grade C++ code integrated into our core quantitative library. Collaborate across business … demands. Knowledge and Experience Master's or PhD degree in Computer Science, Mathematics, Statistics, or a related field. Expertise in advanced mathematics (stochastic calculus, probability theory) Exceptional quantitative and analytical skills. Extensive experience in C++ and Python Strong verbal and written communication skills in English. Preferred Work experience … in options pricing theory Work experience in Data Analytics and Machine Learning 3 Years of experience in a related field. More ❯

able to make pragmatic decisions in a dynamic environment. More specifically, you should have: 3+ years of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman More ❯

of quants, developers, and analysts, to combine technical expertise with football knowledge. Key Requirements: 3+ years of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman More ❯

of quants, developers, and analysts, to combine technical expertise with football knowledge. Key Requirements: 3+ years of experience applying predictive modelling, machine learning, and probability theory, preferably in sports or gaming/betting industries Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models, Kalman More ❯

analysts, as well as having the freedom to explore and develop individual ideas. Requirements 3+ years of experience in predictive modelling, machine learning, and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models More ❯

analysts, as well as having the freedom to explore and develop individual ideas. Requirements 3+ years of experience in predictive modelling, machine learning, and probability theory, preferably in the sports or gaming/betting industries. Familiarity with techniques such as Monte Carlo simulation, Bayesian modelling, mixed effects models More ❯

role will have direct exposure to interest rate derivatives, equity derivatives, credit derivatives and commodity derivatives. A strong background in programming, stochastic calculus and probability theory is preferred . Responsibilities Drive clearing house margin, stress and collateral management models R&D. Define business requirements and specifications for model … finance fields from financial institutions, with proven record designing or implementing quantitative finance models preferred Preferred Strong C++ knowledge Work experience in options pricing theory Work experience in Data Analytics and Machine Learning 1 Years of experience in a related field. More ❯

machine learning concepts and their application in fraud detection. o Statistical Analysis: Strong foundation in statistics, including experience with hypothesis testing, regression analysis, and probability theory. • Fraud and Risk Management Expertise: o In-depth understanding of card fraud typologies and techniques, including phishing, card-not-present (CNP) fraud, and More ❯

machine learning concepts and their application in fraud detection. o Statistical Analysis: Strong foundation in statistics, including experience with hypothesis testing, regression analysis, and probability theory. • Fraud and Risk Management Expertise: o In-depth understanding of card fraud typologies and techniques, including phishing, card-not-present (CNP) fraud, and More ❯

in a data science role. Degree in a highly quantitative field: Computer Science, Machine Learning, Statistics, Mathematics, etc. Proficiency with data mining, knowledge of probability theory and advanced statistical techniques. Experience with regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis. Experience with scientific More ❯

engineering teams towards delivering high-impact autonomous robot systems. Solid background in computer science fundamentals, including data structures, algorithms, system design, deep learning, and probability theory, applied to real-world robotics challenges. Comprehensive knowledge of Robotics Navigation, Perception, and Reasoning, with the ability to strategically guide teams in More ❯

engineering teams towards delivering high-impact autonomous robot systems. Solid background in computer science fundamentals, including data structures, algorithms, system design, deep learning, and probability theory, applied to real-world robotics challenges. Comprehensive knowledge of Robotics Navigation, Perception, and Reasoning, with the ability to strategically guide teams in More ❯

It is essential that you are an expert in Microsoft Excel and a skilled user of either R or Python, comfortable with statistics and probability theory. We are looking for someone who enjoys working with innovative questions in a dynamic and challenging environment and has strong task management abilities. More ❯

design levels Experience in software projects (ideally within industrial IoT environment) Proficiency in understanding the mathematical aspects of Safety and Reliability engineering, including statistics, probability theory, and mathematical modelling Ensuring thorough consideration and implementation of lessons learned from previous in-service experiences Contribute to improve Ventive quality system More ❯