Lead Credit Risk Analyst - Credit Decisioning

🌏 London - 70 St Mary Axe (near Liverpool Street)

💷 Discretionary Company Bonus Scheme  

⏰ Monday to Friday, 9am to 5.30pm, 37.5 h pw 

🏢 Hybrid, with 2–3 days a week in the office

Our mission is to empower our customers with simple experiences, straightforward lending products and compassionate support, from application to final payment and beyond.

Upgrading. Growing a family. Fresh starts. Big moves. Bumps in the road. We finance cars, but more importantly, we finance people. Since 2016, we have supported tens of thousands of customers on their car buying journey.

As an employer, your career matters to us. We want you to thrive as yourself, we celebrate diversity and inclusion, and our Talent Development team supports your learning, development and career progression.

You will join the Pricing and Credit Decisioning team, one of two teams in Credit Risk under our Chief Credit Risk Officer. The team decides who Oodle lends to and at what price, across three areas: credit decisioning, pricing and unit economics. 

You will lead Oodle's pre-funding credit strategy for hire purchase: the policy rules, score cut-offs and decisioning logic that every hire purchase application passes through before we fund it. Reporting to the Head of Pricing and Credit Decisioning, you will manage two Credit Decisioning Analysts, set the team's priorities and keep the quality of its analysis high.

You will balance approval rates, risk and yield across new originations, and take strategy changes from idea to test to live deployment. We work in Python and use AI tools in our daily work. We want you to push that further, for yourself and for your team.

• Lead the development of Oodle's hire purchase credit policy and strategy rules, both CRA and non-CRA, and keep them aligned with risk appetite.
• Set and review score cut-offs, using origination scorecard outputs from the Data Science team.
• Find opportunities to approve more good customers and decline more bad ones, and size the impact on volume, losses and yield before proposing a change.
• Work with the Affordability, Fraud and Data Science teams so that decisioning rules, affordability and KYC checks and fraud controls fit together across the pre-funding journey.

• Monitor decisioning performance, including approval and referral rates and early arrears by rule and cut-off, and act when it drifts.
• Back-test proposed rule changes with swap-set analysis before they go live, and check outcomes against expectations after release.

• Lead changes to decisioning rules from analysis through to production, working with Product and Engineering on specification, testing and post-release checks.
• Write clear change papers and represent credit decisioning at committee, presenting recommendations to senior stakeholders.
• Keep documentation and change logs in good order so every rule has a clear rationale.

• Manage two Credit Decisioning Analysts: set objectives, plan the work, review analysis and run regular one-to-ones.
• Coach the team in Python, analytical method and stakeholder communication, and help them grow their careers at Oodle.
• Build reusable Python tools and code standards so the team spends less time on repeat work.
• Bring AI into the team's day-to-day work, for code, analysis, documentation and monitoring, with sensible checks on its output.

• 4+ years in credit risk strategy at a UK consumer lender, including leading acquisition or decisioning strategy work.
• Strong Python (pandas or similar), SQL and git, with experience writing code other people can read, reuse and review.
• Experience setting score cut-offs and policy rules, and measuring their impact on approval rates, losses and profitability.
• Experience leading, mentoring or supervising analysts.
• Experience explaining technical findings and trade-offs clearly to senior, non-technical audiences.

• Hire purchase or other motor finance experience.
• Working knowledge of UK credit bureau data (Experian, Equifax, TransUnion) and open banking data.
• Familiarity with FCA Consumer Duty, CONC and fair value assessment.
• Experience with decision engines and Snowflake or a similar cloud data warehouse.
• A degree or equivalent experience in a quantitative subject such as maths, statistics, economics or engineering.
• Experience using AI tools to work faster, with examples you can show us

• TBC

Our values are our personal brand and lay the foundation of what we care about the most. They provide us with guidance, so we can work towards the same goals. They are our DNA and are kept at the forefront of our Oodler’s mind when making business decisions.   

• Embrace being human – empathy and diversity make us stronger.  
• Strive for awesome – it’s awesome when we do better every day.  
• Everyone’s a builder – we’re in this together and we win as a team.  
• Bravely honest – we’re honest with ourselves and everyone else.  
• Think customer – they’re at the heart of everything we do. 

To find out more about our culture and what happens at Oodle check out our LinkedIn and Instagram.  

Oodle is proud to be an inclusive workplace and we recognise diversity of experience, thoughts and backgrounds leads to better customer outcomes and an environment where our colleagues can thrive. We have several DEI networks which are made up of our ‘Oodlers’ who strive to make positive impacts to our cultures. 

We’d love if you could submit your application online, but if you need an alternative method or need reasonable adjustments to take part in the interview process, please email careers@oodlefinance.com.

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