Lead Insight Analyst

Lead Insight Analyst – Wealth & Personal Banking Location: Hybrid | Onsite 2x per week in Birmingham, Leeds, Sheffield or Chester Duration: Until 31/12/2026 We are working with our Wealth & Personal Banking client whosupports millions of customers across the UK, from everyday banking through to lending, savings, investments and wealth management. Our client’s UK Analytics & CRM Centre of Excellence uses data, insight and machine learning to drive smarter decisions, improve customer outcomes, and deliver sustainable growth. They are now looking for a Lead Insight Analyst to join this high-performing function and play a key role in shaping insight across their Lending portfolio. What you’ll be doing • Partnering with senior stakeholders to translate complex business needs into actionable analytics, insight and data products • Leading end-to-end analytical projects across secured and unsecured lending, including acquisition, targeting, pricing, balance growth, spend growth and regulatory initiatives • Designing, building and maintaining robust data products including tables, views, segments and associated metadata • Developing, deploying and maintaining predictive and forecasting models to support business decision-making • Delivering insight across consumer behaviour, segmentation, marketing effectiveness and pricing strategy • Supporting regulatory programmes and ensuring high standards of data accuracy, integrity and governance • Collaborating with global analytics teams to develop shared data products and standards • Clearly communicating conclusions, risks and recommendations to both technical and non-technical stakeholders Essential experience (you must have) • Experience in an Insight Analytics or Risk Analytics role within Financial Services • Direct exposure to consumer lending products (e.g. loans, credit cards, mortgages or similar) • Strong understanding of credit risk, profitability and customer behaviour • Advanced analytical skills using SAS and SQL (Python or VBA also beneficial) • Experience working with large, complex data sets • Proven ability to take an analytics project from problem definition through to business recommendation • Knowledge of FCA regulation and working in a regulated lending environment