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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.