17 of 17 Model Validation Jobs in Central London

cases across Bloomberg, including product, platform, internal tooling, automation, and third-party AI solutions. Evaluate AI risks related to bias, explainability, hallucination, robustness, model drift, data leakage, privacy, security, intellectual property, misuse, transparency, and human oversight. Advise teams on appropriate controls, testing, monitoring, documentation, and risk mitigation strategies based … case, data sensitivity, model type, deployment context, and regulatory exposure. Review complex or higher-risk AI use cases and provide risk-based recommendations to governance forums and senior stakeholders. Help define practical technical standards for responsible AI development, testing, validation, deployment, monitoring, and retirement. Framework and Control Development ...

fraud models are highly predictive and market leading - consumer bureau data, postcode insights, open source data,transactional insights & fraud indicators from partnerships Apply traditional model development techniques and approaches (e.g. logistic regression) as well as adopting new AI/ML techniques such as gradient boosting, random forests, clustering, etc. … approaches towards new fraud scores and models Consider the creation of new characteristics/attributes to improve and maximise the predictive power of the model(s) as well as enhancing and creating other analytical products and services. This can be done through expert approaches or through AI approaches (e.g. ...

Digital Grid Solutions team in EMEA, being part of the Energy Control Systems (ECS) practice. This role focuses on data management, data integration, network model management and MDM (master data management). The customer base will primarily focus on transmission and distribution system operators, and occasionally on data centres … integration, DER/RES integration and corporate asset management. Responsibilities Develop and implement data governance practices, including data ownership, data quality controls, validation rules, metadata, versioning, and lifecycle management. Support data standardisation and harmonisation across network model datasets, systems, and stakeholders. Manage and maintain network model data ...

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 ...

Lorien in London is seeking an AI Assurance/Validation Practice Leader to head the AI Assurance and Validation capability within Financial Services. You will build and lead the team, shape GTM capability, and drive revenue while defining how model validation and second-line defence create … value for clients. The role requires a strong technical background in model risk management for AI/ML, a deep understanding of financial risks, and the ability to engage with auditors and regulators on global #J-18808-Ljbffr ...

cross-asset workflows. What's the role? We are looking for a senior product manager to run IPQA's analytics architecture and drive model delivery at scale, ensuring our analytics continue to lead as client and market needs evolve. You will work at the intersection of quantitative finance, engineering … clients across Terminal, Enterprise Data and Enterprise Products. At the core of this role is a founding conviction: analytics at scale require a model-agnostic design, where the architecture enforces consistency and transparency across models, asset classes and client workflows. You will work closely with our quant and engineering ...

based, API, enterprise) to inform solution design and client cost implications. You will own technical oversight across the AI solution lifecycle, validating architecture integrity, model performance, and integration quality at stage gates through to production handover. Required technical and professional expertise +8 years' experience Strong understanding of enterprise ...

encourage applications from people with diverse and underrepresented backgrounds and perspectives. Why you? Design and implement AI/ML-driven solutions throughout the entire model development life cycle. Research and develop state‐of‐the‐art machine learning models and agentic systems to solve a variety of scientific tasks. Deliver ...

healthcare applications. The role sits at the intersection of clinical practice, software engineering, data science, and AI , with a strong focus on patient safety, model reliability, regulatory compliance, and real-world clinical impact. The successful candidate will work closely with clinicians, data scientists, ML engineers, software engineers, product teams … deep-learning models using appropriate clinical datasets. Develop robust data pipelines for clinical, imaging, laboratory, physiological, and/or electronic health-record data. Implement model evaluation frameworks covering performance, calibration, robustness, bias, uncertainty, and clinically relevant endpoints. Support prospective and retrospective validation of AI systems in clinical environments. ...

clients and Bloomberg enterprise product teams to understand how firms expect to govern access — to content and to Bloomberg's capabilities — and validate the model against real firm behaviour. You'll need to have Strong product management experience in enterprise software, SaaS or platform products, leading initiatives from concept ...

Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. Design and evaluate experiments to understand genuine impact. Work with Data Engineering to create reliable model inputs and productionise ...

Reinvention Partner Accenture's Finance Reinvention Partner helps CFOs and finance leaders reinvent how finance creates and protects enterprise value - bringing together strategy, operating model, data, AI and technology to improve performance, insight, control and execution. In the UK and Ireland, the practice combines finance strategy and transformation capabilities … technologies to create more integrated, agile and insight-led performance management capabilities. We support the full transformation journey - from planning strategy, process and operating model design through solution architecture, implementation, adoption and value realisation - embedding predictive analytics, machine learning and AI to improve forecast quality, scenario modelling and management ...

proportionate, business-relevant advice, assurance and audit services. This role is responsible for leading and delivering specialist services in data governance, AI governance, AI model testing, and data analytics audits across Financial Services clients. As an Associate Director, you will act as a recognised subject matter expert across client … look into the role As an Associate Director within BRS, you will: Own and lead complex client engagements across data governance, AI governance, AI model testing, and analytics internal audit/risk within Financial Services, managing a significant portfolio of client relationships at senior stakeholder level. Lead strategic planning ...

An excellent opportunity for a Quantitative Analyst to join a highly talented and technically focused team based in central London. The successful candidate will be responsible for interpreting, analysing and manipulating large and complex datasets ...

presenting conclusions to relevant stakeholders. Deep expertise in data governance frameworks (e.g. DAMA DMBOK, DCAM) and AI governance,modelrisk management, and AI model testing and validation methodologies, including familiarity with emerging regulatory and industry standards (e.g. EU AI Act, NIST AI RMF,PRA SS1/ ...

Design reusable development frameworks and components, ensuring high standards across code quality, performance, testing and maintainability . Implement complex Salesforce configuration, automation, workflows, approvals, validation rules and security controls . Agentforce, AI & Data Cloud Design and develop Salesforce Agentforce and Agentic AI solutions , integrating AI-enabled capabilities into enterprise … solutions , with an understanding of how AI capabilities integrate into enterprise Salesforce processes. Strong knowledge of Salesforce architecture, administration, configuration, security models, workflow automation, validation rules and data management . Experience designing and supporting enterprise integrations using REST/SOAP APIs , alongside strong knowledge of Salesforce integration and application ...

Engineers to join the AI for Science (AI4S) team to design, implement and validate ML models for real‐world biomedical problems. You will drive model development across scientific tasks using HPC and large biomedical data sources. You will collaborate with biology, medicine and experimentation experts to ensure high‐quality … data for model development, deliver robust code in an agile environment, and contribute to state‐of‐the‐art AI/ML research and deployment. #J-18808-Ljbffr ...