7 of 7 Monte Carlo Method Jobs

team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and effectively. Games Data … use visualization techniques for communicating data and analysis Experience of using any of the following to answer business or scientific questions -statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc. R/Python experience Knowledge and experience of SQL Ability to work a minimum of 3 days a week in our central london office. More ❯

power, etc). Advanced degree (MSc/PhD) in Maths, Physics, Financial Engineering, or related field. Deep understanding of option pricing theory (Black-Scholes, local/stochastic volatility, Monte Carlo). Expert Python developer with strong numerical and vectorized coding skills (NumPy, SciPy, Pandas). Experience building and calibrating volatility surfaces and handling risk measures (Greeks 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 Monte Carlo simulation, 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 ❯

and governed data solutions. Provide hands-on technical guidance on data design, modelling, and integration, ensuring alignment with architectural standards. Drive the adoption of tools such as Alation, Monte Carlo, and Airflow to improve data lineage, quality, and reliability. Ensure data security, privacy, and compliance are integral to all architecture and integration designs. Act as a More ❯

Strong exprerience with Databricks - Experience of implementing machine learning and AI - Tooling such as Purview and Unity Catalog as well as the use of observability tools such as Monte Carlo, Fabric Monitoring and Log Analytics - Mentoring/Leading/Management experience initially with a small team but with a view that this will grow - Ideally skills More ❯

in languages such as Python or Java.Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka, Delta Lake, Iceberg, Arrow, Data Fusion).Familiarity with data governance tooling such as Monte Carlo, Atlan.Excellent problem-solving and analytical skills.Strong communication and interpersonal skills.Ability to work collaboratively in a team environment. More ❯

Develop and maintain Python pricing and risk libraries covering vanilla and structured options across commodities and equities. Implement and calibrate models such as Black-Scholes, Heston, SABR, and Monte Carlo-based approaches for structured instruments (APOs, CSOs, ULDs, P1X). Design and maintain volatility surface calibration workflows, including interpolation, extrapolation, and smoothing. Collaborate with quantitative researchers More ❯