Lead Climate Risk Business AnalystProduct Owner

ALead Business Analyst / Product Ownerwithin theClimate Risk Technologyteam will lead communication and alignment between Climate Risk Modelling & Analyticsteams. Based inLondonand working closely with local and global stakeholders the role will deliver regulatory-compliant data-driven solutions that embed climate risk into the firms decision-making and reporting. You will translateUK and EU regulatory requirements(data and technology expectations) and business objectives into clearproduct roadmaps prioritised requirements and acceptance criteria. You will work across users and stakeholders inRisk and Modelling & Analytics to build scalable auditable capabilities that supportcapital planning disclosures and portfolio steering.

This role is key to enabling the build and maintenance of a robust scalable infrastructure that operationalises climate risk insights across the firmremoving manual bottlenecks and embedding risk analytics into core business processes. While an understanding of climate risk data and processes is advantageous the successful candidate will beanalytically strong intellectually curious and comfortable ramping quicklyacross multiple projects and subject areas. This role is not responsible for developing climate models; it is responsible for product ownership and requirements that enable model outputs and data to be operationalised at scale.

Job Responsibilities

• Partner with users to define product vision and roadmap for Climate Risk capabilities ensuring alignment with UK/EU regulatory frameworks (e.g. PRA FCA) and business goals.
• Partner with London-based users and stakeholders to capture refine and prioritize business and data requirements user stories and acceptance criteria.
• Collaborate with modelers and data engineers to operationalize climate risk metrics and scenarios ensuring data lineage controls and explainability for regulatory and business reporting.
• Manage and prioritize the product backlog run Agile ceremonies and deliver iterative value in accordance with local norms and regulatory deadlines.
• Drive risk and quality: embed validation checks model governance documentation and audit readiness; coordinate UAT and sign-offs with business and risk owners.
• Coordinate cross-functional stakeholders (Risk Finance Sustainability Technology Data Governance Compliance) in London and globally to resolve dependencies and inform trade-offs.
• Monitor product KPIs/OKRs (coverage timeliness user adoption data quality scenario stability) and implement improvements to enhance reliability and scalability.
• Foster a culture of collaboration transparency and continuous improvement across distributed and local teams.

Required Qualifications Capabilities and Skills

• 7 years of experience in business analysis and/or product ownership delivering complex data-intensive risk or regulatory technology solutions in large financial organisations ideally within the UK.
• Strong knowledge of climate risk physical and transition risk drivers climate scenarios stress testing portfolio analytics and UK/EU regulatory disclosure frameworks (e.g. PRA FCA NGFS EBA).
• Proven ability to translate regulations and policy into actionable requirements and controls with end-to-end traceability and audit-ready documentation.
• Advanced stakeholder and user engagement skills including experience facilitating workshops and aligning senior stakeholders in London and across EMEA.
• Experience with Agile delivery and product management practices including backlog management story writing prioritisation frameworks and iterative release planning.
• Technical fluency with data pipelines data quality frameworks and vendor solutions; familiarity with lineage metadata and control design for risk reporting.
• Strong analytical and problem-solving skills with the ability to decompose complex business and data problems into clear deliverables and testable acceptance criteria.

Preferred Qualifications

• Experience with UK/EU climate risk scenario data and models (e.g. NGFS Integrated Assessment Models Catastrophe Models) integration with capital planning or enterprise stress testing processes.
• Familiarity with model governance validation and explainability workflows for climate or risk models including user documentation and training.
• Knowledge of data and visualization tools used for risk analytics and regulatory disclosures; experience collaborating on data schemas APIs and user experience design