7 of 7 Model Validation Jobs in Central London

LSTMs/GRUs for sequential data Transformer architectures for NLP and structured data Fine-tuning and transfer learning approaches Drive experimentation frameworks, hypothesis testing, model validation, and statistical rigor Ensure robustness, generalisation, bias mitigation, and explainability in deployed models Provide technical direction on feature engineering strategies and model … Engineering, or related quantitative discipline Proven experience building and deploying advanced ML and deep learning models in enterprise environments Deep understanding of algorithm selection, model complexity trade-offs, and overfitting/underfitting dynamics Strong proficiency in Python and ML ecosystems (scikit-learn, pandas, NumPy) Experience with deep learning frameworks ...

risk and valuation frameworks and industry best practices Lead project teams, mentor and supervise junior team members, ensure high-quality deliveries and adhere to model governance upmost standards Support content generation and business development initiatives, including identifying new opportunities and developing proposals Your competences Technical: Post-graduate degree … maths from a top tier university Minimum of 8-12 years of relevant experience in quantitative modelling and derivatives pricing across Front Office, Model validation or Risk functions within financial services Solid background in stochastic calculus and data science including AI/ML techniques Experience with flow ...

down to negotiate. That's what you'll build. What You'll Build This is genuinely 0-to-1. There is no existing model, no data pipeline, no baseline to iterate on. You're starting from a blank sheet - which means you'll need to be comfortable with ambiguity … series. This is structured, high-dimensional, real-world forecasting at a level that actually moves enterprise decisions. Own the full modelling lifecycle. Feature engineering, model selection, validation strategy, uncertainty quantification, production deployment. You'll make the calls and live with the results - which means you'll learn fast. ...

what it is. By encompassing a wide range of disciplines across a breadth of areas such as FRTB, Traded Risk, Conduct risk, Model Validation and Ops Risk we become immersed in our clients' organisations, applying sector knowledge and technology solutions to deliver the best possible outcomes ...

data. Build, deploy and maintain production ready end to end ML pipelines Develop, validate, and monitor time-series and classification models. Implement rigorous cross-validation and performance evaluation strategies. Design and implement model monitoring processes including drift detection and recalibration. Work with engineering to ensure models are production … Technical Stewardship Build and maintain reproducible data pipelines Ensure analytic workflows are version-controlled and well documented. Contribute to best practices in data governance, validation, and quality assurance. Support structured, rapid data cuts for commercial RWE collaborations. Internal Strategy & Clinical Collaboration Work closely with clinical leadership to ensure analyses ...

Director of Data Science , you will be: • Lead end to end development of underwriting, credit, & fraud models. • Set modelling standards, regulation requirements and model frameworks. • Improve model robustness through validation, monitoring and performance tracking. • Define key modelling concepts, including performance criteria. • Work closely with product, engineering ...

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 ...