Job Specifications
Graduate Quantitative Analyst- Pricing & Profitability
London
Discretionary Company Bonus Scheme
⏰ Monday – Friday 9am – 5.30pm (37.5h pw)
Our perks
25 days holiday (rising to 28 after 3 years' service) pro-rated, 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 Simply Health 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
Life Assurance - 4 x annual salary - benefit funded by Oodle
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.
Oodle – who are we?
Our mission is to empower our customers by delivering 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've supported tens of thousands of customers on their car buying journey
As an employer, your career is important to us. We're committed to creating an environment where you can thrive as yourself. We celebrate diversity and inclusion, actively working to make sure every team member feels supported on their journey with us. Our Talent Development team is here to support your growth, providing opportunities for learning, development, and career progression.
The Role
Graduate Quantitative Analyst – Pricing & Profitability at Oodle Car Finance.
Location and working style
We're based in the heart of London's vibrant financial and insurance district at 70 St Mary Axe, just a few minutes' walk from Liverpool Street Station. We operate a hybrid working model, but during your initial onboarding you'll spend 2–3 days per week in the office. This helps ensure a smooth learning curve, close support, and strong team integration as you get up to speed.
Overview:
We are looking for a Quantitative Analyst to join our Pricing & Profitability team within Credit Risk. This is a hands-on role for someone who enjoys working with data, programming, and turning analysis into commercial decisions that improve customer outcomes and portfolio performance.
If you like owning your work, building strong data foundations, and learning fast in a high-impact environment, this role will give you exposure across pricing, unit economics, and portfolio strategy.
What you will be doing in the role:
You'll play a key part in developing, monitoring, and deploying pricing strategies that support responsible lending and sustainable portfolio growth. You'll collaborate closely with colleagues across Pricing, Credit Risk, Data, Product, Engineering, and Commercial teams.
Our primary programming language is Python, and you'll also use SQL regularly.
Supporting the management and monitoring of pricing strategies, including daily performance MI, data quality checks, and investigating movements in key KPIs (e.g., acceptance rate, yield losses, and margin).
Assisting with pricing strategy deployment activities such as preparing inputs, validating outputs, and supporting controlled change processes.
Contributing to pricing strategy testing (e.g., champion/challenger), including building monitoring packs, defining success metrics, and assessing results.
Supporting unit‑economics cashflow modelling and forecasting through structured data preparation, parameter tracking, and scenario analysis.
Assisting with introducer commission analytics and reporting, including segmentation and monitoring of commission outcomes.
Conducting exploratory analysis to identify drivers of performance and risk‑adjusted returns across channels and customer groups.
Supporting ad hoc analysis across credit risk, pricing, and portfolio strategy, translating business questions into clear, data‑led insights.
Communicating findings to stakeholders clearly and confidently, with guidance and mentorship from senior team members.
If the below sounds like you, we'd love to meet you:
0–2 years' experience in analytics, pricing, credit risk, or a related quantitative field (financial services experience is helpful, not essential).
Strong quantitative skills and confidence working with datasets (cleaning, joining, aggregating, validating).
Experience programming in Python, plus working knowledge of SQL (or the motivation to learn quickly).
Interest in statistical mode