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Head of Credit Risk

Remote / Online - Candidates ideally in
Greater London, London, Greater London, W1B, England, UK
Listing for: Oodle Car Finance
Full Time, Remote/Work from Home position
Listed on 2026-09-13
Job specializations:
  • Management
    Data Science Manager, Risk Manager/Analyst
Salary/Wage Range or Industry Benchmark: 85000 - 125000 GBP Yearly GBP 85000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Our perks

  • 25 days holiday (rising to 28 after 3 years' service) plus bank holidays, to take time to recharge and do something you love.
  • Private Medical - via vitality, with reward schemes paid for you and your family.
  • Health cash plan - via health shield for employee's and children claiming money back for dental, optical, etc
  • Pension – Oodle will contribute 5% of your salary into your pension pot to help you save for the future.
  • Free breakfast, drinks and fruit in the office – you can help yourself to cereals, toast, fizzy drinks and lots of fruit.
  • Employee discounts – discounts you can access anywhere, anytime for all major shops.
  • 1 day volunteer day per year– an opportunity to give back to the community each year.
  • Mental health care – 6 free counselling sessions via our EAP (Employee Assistance Programme).
  • Paid sick leave – enhanced company sick pay.
  • Enhanced family leave – we provide enhanced family leave for primary and secondary caregivers.
Location & Working Hours

London or Manchester (Hybrid)

Discretionary Company Bonus Scheme

Monday – Friday 9am – 5.30pm (37.5h pw)

Oodle – who are we?

Our mission is to be the UK's simplest way to find and finance a great value used car. We want to put car buyers back in control and make the car buying experience as simple, straightforward, and joyful as possible as car buyers deserve oodles of car buying confidence!

We are a team of 450 people located in Manchester, Oxford and London. Over the past 8 years, we’ve supported 10,000's of customers on their car buying journey and know 2024 is shaping up to be another exciting year!

The Role & Team

You will be part of the exciting and fast-fasted Credit Risk team s team is the engine room of the business, using data and analytics to drive strategic change. The successful candidate will be tasked with optimising applications credit risk strategies, affordability assessments, income and identity verification, fraud detection, and loss forecasting including provisioning and unit economics. You will be leading a cross functional team of Data Analysts, working closely with Data Scientists, Product leads, Engineers, and Operations.

This role can be based in London or Manchester and can be worked in a hybrid manner combining in-person collaboration within the office and remote/home working. Occasional travel is required between offices, but travel expenses are paid when travelling away from your contracted place of work. We are incredibly inclusive and open to most adaptions to working patterns, please get in touch to discuss your specific requirements.

Day-to-day

work will include

Leveraging credit risk expertise to support the business in making informed decisions and take responsibility for sharing credit risk knowledge across the organisation.

Chairing Credit Risk related committees presenting to the Executive Committee and Board members.

Using loss forecasting and stress testing to guide strategic direction.

Creating and continuously evolving the governance and monitoring framework and developing long-term strategies for the team.

Working closely with product, operations, commercials, and data teams to align on common goals and priorities that deliver the best outcomes for both the business and customers.

Supporting product teams to deliver great outcomes, including guiding the team on execution or helping resolve stakeholder challenges.

Understanding the regulatory landscape to achieve balanced outcomes that align commercial goals, customer needs, and regulatory requirements.

Providing day-to-day support and development to junior team members while effectively managing relationships with senior stakeholders.

Working with the Data Science to evolve bespoke risk assessments.

Working with Operations to execute good customer…

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