4 of 4 Model Validation Jobs in Central London

environment. The Data Scientist role suits a hands-on Data Scientist who is comfortable working across the full lifecycle from data exploration through to model development validation plus deployment support. Responsibilities for the Data Scientist: Develop statistical models machine learning solutions analytical frameworks to address complex business problems … outputs into clear insights recommendations for technical non-technical stakeholders Work closely with data engineers analysts to ensure models are production-ready scalable Validate model performance manage bias ensure outputs are robust explainable reliable Contribute to continuous improvement of data science practices tooling governance Essential Skills for the Data ...

define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions. Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks. Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks … variance reduction, and online-offline alignment. Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways. Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated ...

Analyst with strong experience in machine learning system implementation, for a 6 month contract (with potential for extension) based in the London office (hybrid model, 2 days a week in the office). Purpose of the role: The Business/Data Analyst will support the implementation of our client … Machine Learning-driven AML platform. This role sits within the Product team and will play a key role in defining requirements, supporting model development and ensuring effective financial crime detection outcomes within a fast-paced agile programme. What you'll do: Gather and document business and AML requirements. Work ...

Prepare catastrophe reporting and regulatory analytics to meet internal and external requirements. Contribute to business planning through portfolio analysis and modelling insights. Validate catastrophe model outputs and support model testing activities. Ensure the accuracy, consistency, and integrity of catastrophe exposure data and reporting. As such we are seeking … translating analytical outputs into meaningful business insights. Skills & Experience Significant experience in catastrophe modelling, with a focus on account pricing, portfolio analytics, reporting, and model testing. Experience using Moody's RiskLink , Risk Modeller , AIR Touchstone , or equivalent catastrophe modelling platforms. Strong SQL skills with experience extracting and manipulating large ...