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Hydrogen Group

Chester / Global

Lead Insight Analyst

Job Description

Lead Insight Analyst – Wealth & Personal Banking

Location: Hybrid | Onsite 2x per week in Birmingham, Leeds, Sheffield or Chester

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

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