13 of 13 Monte Carlo Method Jobs in the UK

JavaScript. Solid academic background in computer science, mathematical finance, statistics, or a highly quantitative field. Good understanding of probability theory and stochastic calculus. Familiarity with Numerical Analysis and Monte Carlo methods. Experience developing software, preferably in Windows or Linux environments. Proficiency in scripting using UNIX Shell (bash, etc.) and Python. Familiarity with Counterparty Credit Risk (CCR More ❯

statistical modeling techniques, including regression, time-series forecasting, boosted trees, neural networks, and reinforcement learning. Familiarity with optimization and simulation methods such as mixed-integer programming, heuristics, or Monte Carlo simulation. Proven ability to translate analytical findings into operational actions and measurable business impact. Strong collaboration and communication skills; able to work effectively with engineering, operations 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 ❯

have experience in a similar Quant focussed role within a sports betting company or other where working with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced 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 ❯

Bayesian and probabilistic models for real-world challenges. Develop reusable predictive features and inference tools optimised for performance. Apply techniques like Bayesian neural networks, variation inference, Markov Chain Monte Carlo, Gaussian processes, and diffusion models. Collaborate across teams to integrate models into production systems. Analyse data rigorously to validate models and provide actionable insights. Requirements Experience More ❯

and business processes. Monitor adherence to data management best practices across the organisation. Data Quality & Reliability Monitor and ensure data accuracy, completeness, timeliness, and consistency across systems. Utilise Monte Carlo for data observability, proactively detecting and resolving data quality issues. Work with data engineering teams to establish validation, profiling, and anomaly detection frameworks. Stakeholder Engagement & Support More ❯

and business processes. Monitor adherence to data management best practices across the organisation. Data Quality & Reliability Monitor and ensure data accuracy, completeness, timeliness, and consistency across systems. Utilise Monte Carlo for data observability, proactively detecting and resolving data quality issues. Work with data engineering teams to establish validation, profiling, and anomaly detection frameworks. Stakeholder Engagement & Support More ❯

and business processes. Monitor adherence to data management best practices across the organisation. Data Quality & Reliability Monitor and ensure data accuracy, completeness, timeliness, and consistency across systems. Utilise Monte Carlo for data observability, proactively detecting and resolving data quality issues. Work with data engineering teams to establish validation, profiling, and anomaly detection frameworks. Stakeholder Engagement & Support More ❯

and business processes. Monitor adherence to data management best practices across the organisation. Data Quality & Reliability Monitor and ensure data accuracy, completeness, timeliness, and consistency across systems. Utilise Monte Carlo for data observability, proactively detecting and resolving data quality issues. Work with data engineering teams to establish validation, profiling, and anomaly detection frameworks. Stakeholder Engagement & Support More ❯

GitHub Actions preferred). Excellent communicator - able to work closely with technical and business stakeholders. Nice-to-haves: Experience with Kubernetes , Airflow/Prefect , or data observability tools (Monte Carlo, Great Expectations). Exposure to data cataloguing tools (Amundsen, OpenMetadata). Package & Benefits: Salary up to £95,000 , depending on experience. Hybrid working - 3 days per More ❯

Risk Management Supplier & Partner Relationship Management Emerging Technology Evaluation and Adoption Manage HPC and Platform Engineering Service DeliveryEssential attributes for success: Knowledge of Engineering applications (e.g. CFD, FEA, Monte Carlo, high end visualisation, etc.) and the demands they place on HPC/IT infrastructure. Experience working in a high end HPC/analytical tools environment.In depth More ❯

About Lendable Lendable is on a mission to make consumer finance amazing: faster, cheaper, and friendlier. We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest More ❯