Quants, Developers, and Analysts. Due to the nature of the business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting More ❯
Global Quantitative Research team to spearhead the design and implementation of advanced quantitative models for pricing, volatility surfaces, and risk management. Leverage your strong background in stochastic calculus and probabilitytheory to develop robust models, and translate them into efficient, production-grade C++ code integrated into our core quantitative library. Collaborate across business lines, including Clearing, Exchange, and … both research needs and operational demands. Knowledge and Experience Master's or PhD degree in Computer Science, Mathematics, Statistics, or a related field. Expertise in advanced mathematics (stochastic calculus, probabilitytheory) 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 theoryMore ❯
concisely is a must. This role will have direct exposure to interest rate derivatives, equity derivatives, credit derivatives and commodity derivatives. A strong background in programming, stochastic calculus and probabilitytheory is preferred . Responsibilities Drive clearing house margin, stress and collateral management models R&D. Define business requirements and specifications for model upgrades and enhancements. Build models … of work experience in quantitative 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 ❯
o Machine Learning: Familiarity with 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 card-present fraud. o Experience More ❯
team working on important XVA functionality that cuts across asset classes. What you will do Create and support analytics for Markets Front Office XVA across multiple asset classes using probabilitytheory, financial mathematics, and numerical techniques. Implement these analytics in C++, also using Python. Support trading desks. Collaborate closely with other MQA teams. Work in partnership with control More ❯
portfolio. Key Requirements Minimum of 3 years in a Cat Modelling/Exposure Management function. Expert is MS Excel. Skilled user of R or Python. Comfortable with statistics and probability theory. An ability to extract insight out of data - but also through discussions with experts. Keywords; Cyber Catastrophe Analyst; Cyber Data & Catastrophe Analyst We do not retain any personal More ❯
s or higher degree in Mathematics, Statistics, Computer Science, Physics, Engineering, or a related quantitative field Advanced proficiency in Python for data analysis, research, and prototyping Strong foundation in probabilitytheory, statistics, and time series analysis Demonstrated ability to work with large datasets and derive actionable insights from noisy financial data High agency and self-direction, with a More ❯