Credit Strategy & Analytics Manager

🔒 Confidential Employer
Posted 8 May 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Finance & Accounting
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

SQL Python AI Tools (Claude, Copilot) Data Analytics Credit Strategy Decisioning Logic Data Frameworks Monitoring Systems

FULL DESCRIPTION

Credit Strategy & Analytics Manager

[Employer hidden — sign up to reveal] - London - Hybrid - Full Time

Overview

The Credit and Fraud Strategy team sits at the heart of how [Employer hidden — sign up to reveal] grows. This newly created role focuses on one of our most important customer segments: people who are already customers of [Employer hidden — sign up to reveal] and want more. You’ll be transforming how we think about eligibility when our existing customers want to take out more tech. You’ll be responsible for our decisioning logic for these customers, using traditional and AI-enhanced analytics to identify and go after growth opportunities.

What You’ll Do

  • Lead strategic projects to optimise approval rates for existing customers who want to take out more tech.
  • Investigate key drivers of performance and identify opportunities for improvement.
  • Use AI to boost your analytical capabilities and drive innovation in monitoring, automation, and internal decision making.
  • Collaborate with Product and Engineering on technical design of rule changes and implementation of new data sources.
  • Partner with Growth and Marketing teams to develop seamless positive experiences and reduce friction where a decline decision is the best outcome.
  • Design scalable data frameworks and tracking systems to support smarter decisions.
  • Balance flexibility and scalability while maintaining high data quality across multiple sources.

You’ll Succeed With

  • 3-5 years of experience in strategy, analytics, or product/data roles in fast-paced, data-driven environments.
  • A 2:1 or above from a top university, ideally in a STEM or highly analytical discipline.
  • Hands-on daily use of AI tools (e.g., Claude, Copilot) to accelerate the insight → decision → implementation cycle.
  • Strong working knowledge of SQL is required; Python experience is a strong plus.
  • A track record of going from ambiguous problems to in-market impact using data.
  • Experience with modern analytics stacks (data warehouses, dashboards, monitoring systems).
  • A direct communication style that adapts appropriately to different audiences.
  • Takes feedback well and moves quickly on it.
  • Comfort working in a fast-moving, high-ownership environment.

Opportunities & Benefits

  • Fast-track your career – 40% of our employees are promoted every review cycle.
  • Exclusive [Employer hidden — sign up to reveal] device lease for employees.
  • Stock options for all employees.
  • L&D budget to support the skills you value.
  • Hybrid working model – 3 set days in the London Bridge Office (Monday, Wednesday & Thursday).
  • 33 days off, your way – 25 days + 8 bank holidays.
  • Enhanced maternity, paternity, adoption or shared parental leave.
  • Workplace nursery scheme for major cost savings.

Hiring Process

We move quickly and we'll aim to give you the best candidate experience possible. It starts with a 15-minute call — no prep needed. If there's a fit, we move fast. As an FCA-regulated business, we conduct background checks (DBS and AML) on all successful candidates.

Diversity & Inclusion at [Employer hidden — sign up to reveal]

At [Employer hidden — sign up to reveal], we celebrate diversity and are committed to creating an inclusive workplace where everyone can thrive. We welcome people of all backgrounds, experiences, and perspectives.

Sign up free — access 45,000+ UK sponsor-licensed jobs