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- Tasks: Analyse data to optimise pricing strategies and improve customer outcomes.
- Company: Join Oodle Car Finance, a dynamic company in London's financial district.
- Benefits: Enjoy hybrid working, generous holiday, private medical care, and more.
- Why this job: Make a real impact on pricing strategies and portfolio performance.
- Qualifications: 2-4 years in pricing or analytics, strong Python and SQL skills required.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
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.
Location and working style: We’re based in London’s financial district at 70 St Mary Axe. We operate a hybrid model, with 2–3 days per week in the office during onboarding.
What you will be doing in the role:
- You’ll be part of the Pricing & Profitability team within Credit Risk, working closely with Commercial, Product, Data Science, and Engineering.
- Develop and manage deterministic pricing strategies and decisioning rules that support responsible lending and strong originations performance.
- Own the management, monitoring, and optimisation of pricing strategies, including KPI design, MI automation, root-cause investigation, and actionable recommendations.
- Run champion/challenger pricing tests, from hypothesis shaping to test design, implementation support, monitoring, and evaluation of outcomes.
- Carry out scenario and sensitivity analysis to understand pricing performance under different market conditions.
- Build and maintain unit economics models and cashflow forecasts to assess profitability at segment and channel levels, articulating key drivers.
- Shape and evaluate introducer commission strategies, monitoring interactions with pricing, volume, and selection effects.
- Partner with Commercial teams to provide insight on risk-adjusted returns and product performance.
- Improve analytical tools, workflows, and controls; support governance for pricing and profitability models.
- Communicate analytical findings with senior stakeholders, explaining model behaviour, trade-offs, limitations, and recommended actions.
- Support and coach junior analysts through peer review and best practices to enhance the team’s capability and pace.
What we’re looking for:
- 2–4 years’ experience in pricing, credit risk, consumer finance analytics, or a similar quantitative field with measurable impact.
- Strong quantitative skills (statistical modelling, test design, interpretation of analytics).
- Solid Python experience and SQL; comfortable with reliable, reusable analytical code and version control.
- Ability to translate complex analysis into clear, practical recommendations for non-technical audiences.
- Understanding of unit economics or cashflow modelling.
- Commercial mindset with strong judgement.
- Experience in production or operational analytics environments.
- Degree or equivalent in a quantitative subject (Mathematics, Statistics, Economics, Engineering, Computer Science).
Benefits:
- Hybrid working with 2–3 office days per week.
- Holiday entitlement (25 days rising to 28 with service) plus bank holidays.
- Private medical and health cash plan.
- Pension contributions (5%).
- Life assurance (4x annual salary).
- Free breakfast, drinks and fruit in the office.
- Employee discounts.
- Volunteer day per year.
- Mental health support via EAP.
- Paid sick leave and enhanced family leave.
If this role excites you, we’d be delighted to hear from you. Please apply online or contact careers@oodlefinance.com for alternatives or reasonable adjustments.
Pricing Analyst employer: Oodle Finance
Contact Detail:
Oodle Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Oodle Car Finance. A friendly chat can open doors and give you insights that might just help you land that Pricing Analyst role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your Python and SQL expertise. This will not only demonstrate your technical abilities but also your passion for data-driven decision-making.
✨Tip Number 3
Practice your communication skills. You’ll need to explain complex analyses to non-technical folks, so try explaining your past projects to friends or family. The clearer you are, the better!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Oodle Car Finance.
We think you need these skills to ace Pricing Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Pricing Analyst role. Highlight your quantitative skills, Python and SQL experience, and any relevant projects that showcase your analytical prowess.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role at Oodle Car Finance. Share specific examples of how you've used data to drive decisions and improve outcomes in previous roles.
Showcase Your Analytical Mindset: In your application, demonstrate your ability to translate complex analysis into practical recommendations. We want to see how you approach problem-solving and your understanding of unit economics or cashflow modelling.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Oodle Finance
✨Know Your Numbers
As a Pricing Analyst, you'll be working with data all the time. Brush up on your quantitative skills and be ready to discuss statistical modelling and test design. Prepare examples of how you've used data to make impactful decisions in previous roles.
✨Master Python and SQL
Since solid experience in Python and SQL is crucial for this role, make sure you can talk confidently about your coding projects. Bring along examples of reusable analytical code you've written and be prepared to explain your thought process behind it.
✨Communicate Clearly
You’ll need to translate complex analysis into practical recommendations for non-technical audiences. Practice explaining your past projects in simple terms, focusing on the outcomes and how they benefited the business. This will show your ability to communicate effectively with senior stakeholders.
✨Show Your Commercial Mindset
Demonstrate your understanding of unit economics and cashflow modelling during the interview. Be ready to discuss how you've applied these concepts in real-world scenarios and how they relate to pricing strategies. This will highlight your commercial awareness and judgement.
