8 of 8 Monte Carlo Method Jobs in Central London

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., Monte Carlo, 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 ❯

of quant finance and advanced engineering. Responsibilities Architect and build a next-gen macro analytics platform in modern C++, optimised for performance and scale. Develop distributed systems and Monte Carlo engines for real-time pricing and risk in cloud and multi-core environments. Collaborate with quants and traders to productionize models and integrate analytics into front More ❯

of quant finance and advanced engineering. Responsibilities Architect and build a next-gen macro analytics platform in modern C++, optimised for performance and scale. Develop distributed systems and Monte Carlo engines for real-time pricing and risk in cloud and multi-core environments. Collaborate with quants and traders to productionize models and integrate analytics into front More ❯

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, Monte Carlo, 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 ❯

is on developing and implementing pricing models for power and gas derivatives. You’ll be working primarily with a C++ pricing library, applying advanced option pricing theory and Monte Carlo simulation techniques to help price complex energy derivatives. You’ll work closely with traders, quants, and a dedicated quant dev team in a collaborative environment with More ❯

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, Kalman filters, GLMs, and time series forecasting. Strong programming skills, particularly in Python. Experience in exploring new datasets, identifying data More ❯

tools (Redshift, Glue, S3, Lambda, etc.) Strong grasp of data modeling, governance, and pipeline orchestration Excellent communication and collaboration skills in Agile teams Desirable: Experience with dbt, Airflow, Monte Carlo, and BI tools (Power BI, Tableau, QuickSight) Knowledge of data product principles, real-time pipelines, and data enablement programs Join to shape a data-driven future More ❯

AWS tools (Redshift, Glue, S3, Lambda, etc.) Strong grasp of data modeling, governance, and pipeline orchestration Excellent communication and collaboration skills in Agile teams Experience with dbt, Airflow, Monte Carlo, and BI tools (Power BI, Tableau, QuickSight) Knowledge of data product principles, real-time pipelines, and data enablement programs Join to shape a data-driven future More ❯