8 of 8 Permanent Model Validation Jobs in Central London

single asset class, you'll work across Rates, FX, Equity, Credit and Hybrid Derivatives , partnering with specialist quant teams to drive pricing model quality, governance and consistency. A key part of the role is acting as the technical lead for Hybrid Derivatives and cross-asset pricing models, including products … asset classes, as well as pricing models that incorporate multiple asset classes. The Role: Working closely with Front Office Quantitative Analytics, Trading, Quant Development, Model Validation, Risk, Finance, Technology and Control functions , you will: Lead the Front Office Model Review capability across multiple asset classes. Provide independent ...

Assurance/Validation Practice Leader AI Assurance/AI Validation Financial Services To 170k base + equity London An exceptional opportunity for a AI Assurance leader to join a global leader in AI Leading the AI Assurance and Validation capability across Financial Services you will build … lead the team, lead across GTM capability and drive revenue. Create value around model validation and 2nd line Defence. This is a unique career defining role where you will shape and develop the capability. Essential criteria You bring a strong technical background in model risk management, specifically ...

models. Use data science techniques to support trading strategies and decision-making. Build, test and validate models using historical and live data. Continuously assess model performance and identify areas for improvement. Present analytical findings clearly to both technical and non-technical stakeholders. Contribute to the development of tools ...

business problems through advanced analytics, experimentation, and statistical modelling. Build production-ready AI solutions from concept through deployment and monitoring. Establish best practices for model evaluation, testing, validation, and responsible AI. Design and improve AI systems using techniques such as prompt engineering, retrieval augmented generation … with modern AI and data science frameworks. Strong foundation in statistics, machine learning, and mathematical modelling. Experience designing evaluation frameworks for AI systems, including model performance and monitoring. Hands-on experience with Databricks, MLflow, Spark, or similar cloud-based data platforms. Knowledge of responsible AI, model governance ...

authoring tools, such as MicroStation, Revit, OpenRoads, OpenRail, and Navisworks. Experience managing and validating asset information using tools such as AIMS and IFC model validation processes. Working knowledge of data transformation, quality assurance, and analysis tools, including FME and Power BI. Experience coordinating multidisciplinary design information and resolving ...

identifying root causes and working with relevant teams to resolve them Build and maintain Python-based data workflows and pipelines for ingestion, transformation and validation of modelling data Maintain and develop historical data assets, ensuring they remain accurate, accessible and fit for analytical use Work with engineers to improve … upstream and downstream data flows, ensuring critical data is captured and processed effectively Ensure data quality and integrity through validation, reconciliation and targeted monitoring across key datasets Expand visibility into data issues by improving checks, alerts and investigative workflows across critical pipelines Define and improve data logic, transformations ...

rather than handing the modelling to someone else. Product & direction • Define and own the product vision, strategy, and roadmap for our Animal Health market model – spanning historical baselining, predictive analytics, and forward forecasting (e.g. demand, market sizing, and market share evolution). • Translate commercial questions from sales and marketing … external market sources, including the judgement calls when sources are imperfect. Stakeholders • Be the bridge between the commercial business, data science, and engineering – communicating model logic, assumptions, and limitations in language each audience trusts. Essential Strong applied proficiency in Python and/or R, including modern data ...

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing ...