About the Role
We are looking for a curious, data-driven analyst to join our Collections & Recoveries team. This role will help design, test, and monitor strategies for supporting credit card customers in financial difficulty, from early delinquency through to charge-off and post-charge-off recoveries. It involves hands-on work with SQL and Python for analysis, building pipelines, running tests, and translating data into actionable insights.
Responsibilities
- Support the design and ongoing optimisation of collections strategies across all delinquency stages.
- Analyse segmentation, treatment paths, and forbearance options to identify improvement opportunities and translate them into clear strategy recommendations.
- Help build and run a structured champion/challenger and A/B test programme across contact strategies, digital journeys, repayment options, and strategy rules.
- Define success metrics, size tests correctly, and produce statistically robust evaluation packs.
- Build and maintain repeatable analysis pipelines, define consistent metric definitions, and produce regular MI and performance packs.
- Conduct regular portfolio monitoring and analytical deep dives.
- Present findings clearly, with prioritised recommendations for the Collections Strategy Manager.
- Support the end-to-end delivery of strategy changes, including documentation, UAT assistance, and go-live monitoring.
- Work with Operations, Credit Risk, Product, and Data teams day-to-day.
Requirements
- Knowledge of data extraction, transformation, and analysis.
- Comfortable with joins, window functions, cohorting, and building repeatable pipelines.
- Experience in consumer finance collections and recoveries, ideally including credit card.
- Familiarity with the delinquency lifecycle and key regulatory requirements including fair customer outcomes and vulnerability.
- Able to work with large, complex datasets and translate findings into clear insight.
- Understands statistical testing principles and can design and evaluate champion/challenger experiments soundly.
- Can present complex analysis clearly and concisely to a range of audiences.
- Writes well, structures arguments logically, and is comfortable producing performance packs and strategy documentation.
- Comfortable working at pace in an agile, fast-changing environment.
- Can manage multiple workstreams simultaneously without losing attention to detail.
- Takes tasks through to completion.
- Pragmatic team player who enjoys working cross-functionally.
- Can build good working relationships with Operations, Risk, Product, and tech colleagues.
- Asks good questions.
- Experience working in a fintech or digitally-led lender with in-house decisioning and fast release cycles (nice to have).
- Exposure to experimentation frameworks or formal A/B testing (nice to have).
Skills
- SQL
- Python
- Data extraction
- Data transformation
- Data analysis
- Joins
- Window functions
- Cohorting
- Building repeatable pipelines
- Statistical testing
- Champion/challenger experiments
- A/B testing
- Communication
- Presentation
- Documentation
- Agile methodologies
- Cross-functional collaboration
Location
- UK based
Work Type
- Full-time
Experience Level
- Mid-level
Salary/Compensations
- Competitive salary
Benefits
- Pension contributions, including Salary Exchange facility
- Annual bonus potential
- Private medical cover provided by Vitality (optional benefit)
- 25 days annual leave (FTE) plus UK bank holidays
- Additional day of leave added for each full calendar year worked, up to a maximum of 30 days
- Your birthday off each year as an additional day's holiday
- 4x life insurance cover
- Access to confidential Employee assistance programme
About the Company
- Jaja is an innovative UK based consumer finance business, leading initially with a digital credit card launched in 2018, and a pipeline of consumer finance solutions in the making.
- Our mission is to redefine the consumer finance experience and liberate customers from needless complexity, wasted time and frustration.
- We aim to delight our customers by making the customer experience simpler, more enjoyable, and more intelligent, treating customers fairly and giving them more control of their money.
- Our Company Values: Care Deeply, Adapt & Thrive, Challenge everything, Go for it! Own it, Make it Simple.
