10 of 10 Contract Model Validation Jobs in the South East

customers. - Can independently and constructively review others' work and can challenge decisions in a positive way - Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring - Can clearly articulate ideas with non-technical language and tell a simple story to non technical audience … customers. - Can independently and constructively review others' work and can challenge decisions in a positive way - Knowledge of methodologies/tools for data validation, model versioning and model performance monitoring Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited ...

Develop metadata management, data cataloguing, business glossaries, data lineage and classification approaches. Support AI assurance activities, including training data quality, provenance, bias assessment and model evaluation. Contribute to AI governance processes covering model performance, risk management, monitoring and compliance. Implement data quality measurement, reporting and remediation processes. Produce … management, metadata, data cataloguing and data lineage. Understanding of data privacy, information security and regulatory requirements. Knowledge of AI governance and assurance principles, including model validation, bias, risk and ongoing monitoring. Experience engaging with stakeholders, facilitating workshops and producing clear technical documentation. Strong analytical, problem-solving and communication ...

ready insights grounded in trusted data and established metrics. About the role: We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning … including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with ...

language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset classes Prototyping, testing, and validation of our client's proprietary models supporting and coaching more junior team members Requirements Proven financial markets experience, ideally within an investment bank ...

language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset classes Prototyping, testing, and validation of our client's proprietary models Requirements Proficiency with C#, C++ or Python Evidence of exceptional mathematical and analytical skills Initial industry experience working ...

pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance … analysis, and continuous improvement Apply responsible AI practices, including model explainability and fairness assessment Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value Mentor junior colleagues and share learnings across the team About you You will have experience in many of the following: Hands ...

interrogate financial data, challenge outputs and identify inconsistencies or errors. Experience with Adaptive HTML reporting. Previous involvement in finance systems implementations, upgrades or model rebuilds. Advanced Excel skills and excellent analytical capabilities. Confident working independently with Finance stakeholders and external implementation partners. Desirable Experience Oracle NetSuite implementation or integration ...

support exposure. Process & Data Governance Develop and maintain hardware asset data standards, data dictionaries, and data governance documentation. Define and enforce mandatory data fields, validation rules, and data entry standards for hardware asset records. Identify and document data flows between ITAM tools, CMDB, procurement systems, financial systems, discovery tools … management and stakeholders. Strong attention to detail with a commitment to data accuracy and integrity. Understanding of data governance principles including data standards, validation rules, and audit trails. Good communication skills — able to explain data findings and recommendations to both technical and non-technical audiences. Desirable IAITAM certification (e.g. ...

estate. Translating asset, lifecycle, application, OS, inventory, compliance and operational data into accurate dashboards and actionable insight. This role will own reporting standards, validation and stakeholder requirements to support management, risk and regulatory decision-making. What you'll do: Define data quality rules and analyse completeness, accuracy and consistency … need: Strong data analysis and reporting experience, ideally in IT Asset Management or enterprise technology operations. Expertise in data preparation, modelling, visualisation, validation and dashboard design. Ability to integrate and reconcile multiple data sources without reliance on a specific IT service-management platform. Ability to interpret complex datasets, identify ...

Responsibilities: * Design, develop and enhance enterprise-scale risk and analytics applications. * Translate quantitative and regulatory requirements into technical solutions. * Develop & implement testing frameworks, analytical validation & data processing solutions. * Work with time-series data, risk analytics and complex financial systems. * Validate model outputs, testing results and risk factor data. … required). * Experience developing and enhancing complex enterprise applications. * Understanding of Market Risk, Capital Markets or Risk Technology. * Knowledge of quantitative analytics, data validation and testing methodologies. * Understanding of FRTB, particularly the Internal Models Approach (IMA). * Experience with time-series data processing and financial market data. Desirable: * Experience ...