11 of 11 Model Validation Jobs in Central London

domain experts to translate business requirements into well-defined modelling tasks. Build end to end ML pipelinesfrom feature engineering and preprocessing to deployment ready model outputs. Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant. Implement model evaluation … frameworks using offline metrics, cross validation, online experiments, and human in the loop feedback loops. Communicate insights clearly through dashboards, visualisations, written summaries, and presentations tailored to technical and non-technical stakeholders. Ensure models are interpretable and explainable where required, providing transparency into key drivers and assumptions. Work with ...

human in the loop controls Deep understanding of banking products, processes, and customer journeys across Retail or Commercial Banking Solid knowledge of AI model lifecycle management, including data dependencies, model validation, and live service support Demonstrated capability to embed Responsible AI principles, including explainability, fairness, bias mitigation … transparency Strong working knowledge of regulatory and risk requirements (FCA, PRA, GDPR, Model Risk Management) Ability to translate regulatory, legal, and control requirements into clear product features and backlog items Experience working within Agile/SAFe delivery models, owning prioritisation and value-based roadmaps Excellent stakeholder management and influencing ...

uncover trends, patterns, and business drivers Translate insights into clear, compelling narratives and visualisations Identify opportunities to apply AI across products and services Model Development Design, build, and validate machine learning models Develop modelling inputs for AI pipelines and platforms Implement robust evaluation methods (A/B testing, causal ...

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 ...

environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition and fusion approaches. Cloud ...

outset. Join our team to help grow this offering and be part of impactful engagements encompassing (but not limited to): D&AI Strategy & Operating Model Design : Analysing client needs and developing comprehensive data strategies aligned with business objectives, including governance and sourcing strategies as well as organisational structures that … equivalent tenure in relevant industries with a focus on data and AI initiatives. Demonstrable experience in data and/or AI strategy and operating model disciplines, having been responsible for developing and delivering strategic data and/or AI/ML initiatives and defining optimal organisational structures ...

layers to enable consistent metrics and self-service analytics across domains. Ensure data quality by designdefine integrity rules, reference/master data relationships, and validation checks embedded in pipelines. Optimise models for performance and cost (partitioning, clustering, indexing, compression, surrogate keys, distribution strategies). Drive data integration design across … target, resolving conflicts, and handling historical changes. Support AI/ML readiness by modelling features, aggregations, and histories; collaborate on feature stores and model input/output schemas. Embed privacy and security requirements into models (PII classification, minimisation, masking, role-based access, retention, and residency). Your Profile Essential ...

using AWS services Assisting in the development of GenAI/LLM-based applications (e.g. prompt engineering, RAG pipelines) Implementing best practices in experiment tracking, model versioning, and reproducibility Monitoring model performance and supporting continuous improvement Collaborating with engineers, data scientists, and stakeholders across the delivery lifecycle Required Skills … frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost Exposure to AWS services (e.g. S3, Lambda, SageMaker) Understanding of core ML concepts: model evaluation, validation, and experimentation Familiarity with MLOps or experiment tracking tools (e.g. MLflow, Weights & Biases) Awareness of LLMs or generative AI concepts Strong problem-solving ...

senior point of contact for clients, consultants, and delivery partners, representing the business in meetings, workshops, and presentations. Oversee pre-contract activities, including design validation and risk mitigation processes. Support live projects by managing design updates, variations, and change control processes in line with contractual obligations. Review and validate ...

taxonomies and domain constraints are faithfully represented in data flows, making them reasoning-ready and AI-consumable. Working within a senior, cross-functional delivery model (consulting, ontology and engineering), you will play a foundational role in building robust semantic layers and enabling high-value AI systems for clients. … graph databases, semantic layers, Foundry-style systems) Ensure semantic compliance, data integrity and reasoning-readiness Data Quality, Observability & Lineage Implement robust data quality frameworks (validation, profiling, anomaly detection) Build observability into pipelines (lineage tracking, logging, freshness monitoring, schema drift detection) Ensure alignment with governance, security and industry standards ...

As data consultant, 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 ...