quantitative analytics, or model development within a trading or investment banking environment. Strong understanding of pricing methodologies for derivatives, including stochastic calculus, volatility modeling, and numerical techniques (e.g., MonteCarlosimulation, finite difference methods). Programming proficiency in Python is essential; knowledge of C++, MATLAB, or similar languages is a plus. Familiarity with model governance frameworks More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
Maths, Engineering, Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., MonteCarlo, Bayesian modelling) is a plus. Strong communicator. Commercial mindset and strong instincts around risk and return. Experience mentoring or managing analysts. Knowledge of the German lending More ❯
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 MonteCarlosimulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases The company offer some great More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Quantemol Ltd
computing. Experience with version control systems like Git (BitBucket, GitHub). Experience with code refactoring, qualification, and established software development practices. Knowledge of kinetic plasma models (Boltzmann solver, MonteCarlo, PIC). In-depth knowledge of rarefied gas flows or reacting flows. Experience with plasma chemistry design. Familiarity with commercial or open-source CFD packages (e.g. More ❯
