Head of Analytics

Job Title: Head of Analytics - Consumer Finance

Location: London (Hybrid)

About the Opportunity

Our client is an established UK consumer finance lender offering loans to customers that mainstream lenders often underserve. The business is growing and has a clear focus on fair, transparent lending. It is investing heavily in data, automation and AI as core parts of its strategy.

They are looking for a Head of Analytics to lead and develop their centralised Analytics function, driving efficiencies with AI adoption and providing strategic insight to the Board and senior stakeholders.

Key Responsibilities

• Lead and develop a centralised Analytics & MI team supporting Finance, Marketing and the executive team
• Provide clear, actionable insight to the Board and senior committees, making sure analytical output is aligned to business objectives
• Drive the automation of key Committee and business reporting, and improve data structures across the organisation (Snowflake and Power BI)
• Oversee the Decision Engine programme through a Decision Engine Manager, ensuring changes are auditable and deployed safely
• Identify and adopt AI and automation opportunities to improve the efficiency and impact of the analytics function
• Prioritise and manage the workload across multiple stakeholders
• “Hands-on” technically whilst leading and coaching the team, setting the standard for best practice
• Build a culture of accountability and develop the team's storytelling and stakeholder influencing skills

Candidate Profile: Skills & Experience

• Background in Consumer Finance with proven experience leading an Analytics function (e.g. Credit Risk, Analytics, Insight etc.)
• Track record of driving change at pace in a fast-moving, commercially focused business
• Experience engaging at Board level and presenting complex analysis as clear strategic insight to technical and non-technical audiences
• A positive, forward-looking approach to AI and its use in analytics and decision-making
• Strong hands-on coding skills in SQL or Python
• Experience automating reporting and putting robust process and change control in place
• Calm under pressure, with strong written communication and sound prioritisation
• Degree in a quantitative or business discipline, or equivalent experience