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About the Role
This role sits within the Second Line Credit Strategy team, providing independent oversight of credit risk models, strategies, and underlying data assets. You will own a critical piece of our data infrastructure and ensure the team can perform its analytical work effectively.
Responsibilities
- Act as the primary steward of modelled datasets for the Credit Risk team, maintaining field logic, monitoring data quality, and ensuring data and dictionary accuracy.
- Create new tables and pipelines to support evolving analytical needs, adhering to high standards of code quality and documentation.
- Proactively identify and investigate anomalies, breaks, and drift in the datamart to prevent downstream impacts.
- Serve as the main point of contact for data-related questions from analysts and model validators, maintaining clear documentation for self-service.
- Collaborate with the central Data team to align on tooling, infrastructure, and best practices, and promote these within the Credit Risk Team.
- Take ownership of redesigning departmental workflows.
- Utilize AI to automate complex tasks and drive operational efficiency.
- Identify high-impact AI use cases and implement advanced prompting techniques to solve multi-layered business challenges.
Requirements
- A degree from a numerical or data-related subject (e.g., Mathematics, Computer Science, Engineering, Physics, Data Science).
- 1-2 years of work experience, or a recent graduate with strong data skills.
- Proficiency in SQL.
- Familiarity with Github.
- Confidence in using Tableau to build and maintain dashboards.
- Comfortable working independently on ambiguous, open-ended data problems with a methodical and detail-oriented approach.
- Clear communication skills, able to document logic and flag data issues for technical and non-technical colleagues.
- Familiarity with Python, dbt, Airflow, or AWS is a plus.
- Familiarity with MS Office in a professional setting is a plus.
Skills
- SQL
- Github
- Tableau
- Python
- dbt
- Airflow
- AWS
- MS Office
- AI
- Advanced prompting techniques
Location
- London
Work Type
- Hybrid
- 3 days in the office
Experience Level
- 1-2 years of work experience
- Recent graduate
Education Level
- Degree from a numerical or data-related subject
Salary/Compensations
- Competitive Salary
Benefits
- Benefit allowance tailored to individual needs
- Private medical and dental insurance
- Health assessments
- Access to a digital GP
- Life assurance
- Share schemes
- Financial coaching
- Dedicated annual learning allowance
- Electric car scheme
- Cycle-to-work scheme
- Season ticket loans
- Award-winning parental leave policies
- Support for fertility treatments
- Support for new additions to the family
- Barista coffee
- Subsidised Just Eat lunches
About the Company
- On a mission to back UK small businesses using a platform that provides funding in minutes.
- Combines the energy of a fintech start-up with the stability of a public company.
- A high-performing team that supports each other.
- Recognized as one of The Sunday Times Best Companies to Work For 2026.
Equal Opportunity
- We’re building a place where everyone truly feels they belong. Even if your past experience doesn't align perfectly with every requirement, we'd still love to hear from you.