14 of 14 Monte Carlo Method Jobs

have, but not required): Master's Degree in Business, Finance, or an engineering discipline Knowledge and experience with Primavera (P6) Understanding of Monte Carlo Simulations and Monte Carlo Analyses Advanced software skills with VBA, Access, and PowerBI Advanced knowledge of EVM best ...

will be involved in the production, maintenance, and data analysis of online and retail slot games. Responsibilities include developing original game concepts, running Monte Carlo simulations, and playtesting games using our internal demo engine. You will collaborate with Back-End and Front-End Development teams during … Mathematics or a related quantitative discipline (e.g., Statistics, Engineering, or Physics). Strong knowledge of combinatorics, probability theory, and quantitative analysis. Experience running Monte Carlo simulations, including interpreting data and refining models accordingly. Intermediate experience of the Java programming language and with Microsoft Excel. Understanding ...

Python skills and experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data ...

work: predictive modelling, NLP on clinical data, and AI pre/post-call agents powered by LLMs. Customer segmentation using clustering models and Monte Carlo simulations will also feature. This is not just a dashboarding team. Their work is end-to-end, which is rare ...

pragmatic AI-assisted/agentic engineering practices to improve delivery quality and velocity Supporting development of financial modelling platforms, including areas such as: -Monte Carlo simulations-cashflow projections-scenario modelling-valuation/forecasting logic-pension or investment modelling engines What we’re looking for Strong experience ...

real-world datasets, with demonstrable outcomes in business decisioning or operational optimisation. Expertise in advanced modelling approaches such as Random Forests, XGBoost, and Monte Carlo simulations. Proficiency in Python for data manipulation, model development, and deployment. Experience with other languages (e.g. R, Java, Scala) is beneficial ...

topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and back-testing methodologies. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation ...

topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and back-testing methodologies. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation ...

topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and back-testing methodologies. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation ...

topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and back-testing methodologies. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation ...

topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification. Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and back-testing methodologies. Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation ...

work: Attitude estimation (quaternions, DCM) IMU pre-integration, bias estimation GNSS + IMU fusion, dead-reckoning, ZUPT, etc. Preferable: Familiarity with verification methods (Monte Carlo sim, recorded dataset replay, HIL rigs). Experience with version control and CI basics (SVN, code reviews). ...

office with panoramic city views Extensive training and mentorship programme Excellent incentive programme: Monthly lunch clubs and performance rewards Quarterly European trips (Ibiza, Monte Carlo, etc.) Annual international incentives (Las Vegas, Miami, New York) Rule Recruitment is here to support you through the process, prepare ...

Guide (PASEG), EVMS Standard (EIA 748-D), Integrated Product and Process Development (IPPD)/Engineering Lifecycle Stages & Gates, Integrated Program Management Report (IPMR), Monte Carlo Risk Analysis (Schedule Risk Analysis). EVMS - Earned Value Management Systems. Familiarity with scheduling ad-on tools such as Structured Solutions ...