11 of 11 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 ...

driven solutions within a complex, enterprise-scale environment. This is an exciting opportunity to lead testing strategy across cutting-edge AI systems, ensuring robust validation, strong governance, and continuous quality improvement across digital platforms. The Role As a Senior Test Engineer, you will operate at a strategic level, shaping … testing approaches for AI and data services while remaining hands-on across automation, validation, and delivery pipelines. You will: Lead the design and execution of end-to-end test strategies across AI and digital programmes Ensure quality across AI models, data pipelines, APIs, and cloud-based services Embed test ...

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 ...

integrity, transformations, and large datasets across complex environments. Hands-on expertise with Azure Data Factory (ADF) and Azure DevOps, including ETL workflow testing, pipeline validation, test management, and defect tracking. Advanced SQL skills with the ability to write queries, interrogate databases, read schemas and tables, and perform data reconciliation ...

someone with experience training, tuning, validating, and improving machine learning models in production environments. You'll act as the bridge between AML Operations, Model Risk, Compliance, and Engineering teams, helping drive the transition from traditional rules-based monitoring to AI-powered detection. What you'll do: Lead the tuning … optimisation, and configuration strategy for Google Cloud AML AI models. Define and execute backtesting frameworks to validate model performance against legacy Transaction Monitoring approaches. Establish alert thresholds and monitoring strategies that balance model effectiveness with operational capacity. Educate and upskill business stakeholders on AI outputs, model explainability ...

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 ...

Job Title: Senior Data Scientist Contract Type: Fixed Term (6 Months) Working Pattern:3 days per week in office Location: London, UK (Farringdon) Pay: 500 to 750 per day Inside IR35 Are you ready to ...

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 ...