14 of 14 Contract Model Validation Jobs in England

Model Validator London- Hybrid £800- £900pd PAYE emagine is a high-end professional services consultancy and solutions firm Specialising in providing business and technology services to the financial services sector, we power progress, solve challenges and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine … and equitable working environment with our consultants and colleagues which stems from our core values: Confident, Dedicated, Responsible, Genuine. Join a leading organization in the finance sector, focusing on model risk management under Basel 3.1 regulations. We are seeking a Model Validator with a strong foundation in regulatory compliance and validation processes, ideally suited for experienced Quant … Analysts who wish to transition from model development to validation. Your role will emphasize the review and assurance of governance frameworks and the accuracy of self-assessments. Main Responsibilities This role will focus on ensuring the integrity of model validation practices. Conduct independent reviews and validations of models created by quant teams. Ensure compliance with Basel regulations More ❯

Senior Quant/Risk Professional - AI Model Validation, Python, Trade Surveillance sought by leading investment bank based in the city of London. **Inside IR35 -2/3 days a week on site** Summary This is an exciting opportunity for a highly motivated professional to join a dynamic team focused on validating trade surveillance models. The role involves ensuring … statistical models in surveillance or conduct risk contexts. Key Responsibilities Independently validate and periodically review trade surveillance models for robustness and regulatory compliance Evaluate data quality, feature engineering, and model performance across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to challenge model design … Assess statistical and machine learning-based surveillance systems for transparency and effective alert thresholds Provide quantitative and qualitative assessments of model accuracy, stability, and business suitability Collaborate with model developers, compliance, and surveillance teams to communicate findings and support remediation Produce clear and actionable reports summarising validation outcomes and risk ratings for senior stakeholders Support regulatory validation More ❯

Senior Quant/Risk Professional - AI Model Validation, Python, Trade Surveillance sought by leading investment bank based in the city of London. **Inside IR35 -2/3 days a week on site** Summary This is an exciting opportunity for a highly motivated professional to join a dynamic team focused on validating trade surveillance models. The role involves ensuring … statistical models in surveillance or conduct risk contexts. Key Responsibilities Independently validate and periodically review trade surveillance models for robustness and regulatory compliance Evaluate data quality, feature engineering, and model performance across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to challenge model design … Assess statistical and machine learning-based surveillance systems for transparency and effective alert thresholds Provide quantitative and qualitative assessments of model accuracy, stability, and business suitability Collaborate with model developers, compliance, and surveillance teams to communicate findings and support remediation Produce clear and actionable reports summarising validation outcomes and risk ratings for senior stakeholders Support regulatory validation More ❯

the project specification, incorporating all drivers of KPIs, providing rationale for variables selection, understanding coefficients and contributions. Taking base models, oversee or build in additional improvements and progress the model towards finalisation Create sales effect/ROI workbook, Create response curves and optimisation charts Budget allocation. Run scenarios required to answer client objectives for the purpose of forward looking More ❯

Robert Half Technology are assisting a market-leading financial services organisation to recruit a Quantitative Developer on a contract basis. This role offers a hybrid working model, based in London. Role Design, develop, and maintain quantitative libraries, models, and tools supporting trading, pricing, and risk management. Collaborate with quantitative analysts, data scientists, and traders to implement and optimise models … systems for data processing, pricing, and simulation. Translate complex mathematical models into robust, efficient, and maintainable code. Ensure system reliability, scalability, and low latency across all components. Participate in model validation, performance tuning, and version control processes. Stay up to date with advances in quantitative finance, computational techniques, and emerging technologies. Profile Strong programming experience in Python, C++ More ❯

aligning priorities to measurable business outcomes and clear benefits tracking Understand and communicate core AI technologies keeping abreast of latest changes and innovations Work with data teams to validate model outputs, data quality and performance metrics Ability to identify opportunities for automation and AI driven innovation within existing systems and processes Strong understanding of AI technologies and data lifecycle More ❯

and preprocess structured and unstructured data from multiple internal and external sources. Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Design and implement data pipelines for model-ready datasets in collaboration with data engineering teams. Apply feature engineering and selection techniques to improve model accuracy and interpretability. Develop and validate machine learning and statistical models … models using appropriate metrics and perform hyperparameter tuning for optimal performance. Convert proof-of-concept models into production-grade pipelines in collaboration with MLOps and engineering teams. Required: Translate model outcomes into actionable insights through clear storytelling and visualizations. Build dashboards and reports using Power BI, Tableau, or Python-based visualization tools. Communicate findings to both technical and non … Partner with business analysts, architects, and domain experts to define use cases and success metrics. Contribute to the enterprise AI roadmap, bringing thought leadership on analytical methodologies. Document methodologies, model logic, and validation results for audit and reproducibility. Participate in Agile ceremonies, sprint planning, and client showcases. If you'd like to discuss this data scientist role in More ❯

stores using Python, Java, or Node.js backends. + Collaborate with architects to define scalable and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance … and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Partner with business stakeholders to identify and shape More ❯

stores using Python, Java, or Node.js backends. + Collaborate with architects to define scalable and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance … and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Partner with business stakeholders to identify and shape More ❯

Perform exploratory data analysis (EDA) to uncover trends and anomalies Design and implement data pipelines in collaboration with data engineering teams Apply feature engineering and selection techniques to enhance model performance Build and validate ML models for prediction, classification, clustering, and optimization Use libraries such as Scikit-learn, TensorFlow, and PyTorch for supervised and unsupervised learning Implement NLP, time … and machine learning Strong Python skills and familiarity with ML libraries (Scikit-learn, TensorFlow, PyTorch) Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn) Ability to translate complex model outputs into actionable business insights Excellent communication skills with both technical and non-technical audiences Familiarity with Agile methodologies and cross-functional collaboration Background in banking or financial services More ❯

Perform exploratory data analysis (EDA) to uncover trends and anomalies Design and implement data pipelines in collaboration with data engineering teams Apply feature engineering and selection techniques to enhance model performance Build and validate ML models for prediction, classification, clustering, and optimization Use libraries such as Scikit-learn, TensorFlow, and PyTorch for supervised and unsupervised learning Implement NLP, time … and machine learning Strong Python skills and familiarity with ML libraries (Scikit-learn, TensorFlow, PyTorch) Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn) Ability to translate complex model outputs into actionable business insights Excellent communication skills with both technical and non-technical audiences Familiarity with Agile methodologies and cross-functional collaboration Background in banking or financial services More ❯

data stores using Python, Java, or Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance … and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Partner with business stakeholders to identify and shape More ❯

Contract Data Scientist - Multi-Touch Attribution Location: Hybrid (2-3 days per week, London office) Duration: 4 months Rate: £500 per day (Outside IR35) About the Role We're partnering with a leading marketing and communications group to find an More ❯

Role: Information modeler Location: Warwickshire, UK Duration: Contract Job Description: Your responsibilities: Develops and maintains information models using UML, BPMN, and ArchiMate notations in Sparx Enterprise Architect. Collaborates with SMEs to validate models and implement governance frameworks, policies, and data More ❯