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- Tasks: Analyse data to drive pricing strategies and improve customer outcomes.
- Company: Join Oodle Car Finance, a dynamic player in the finance sector.
- Benefits: Enjoy hybrid working, generous holiday entitlement, and professional growth opportunities.
- Why this job: Make impactful decisions in a fast-paced environment while honing your analytical skills.
- Qualifications: 2-4 years in pricing or analytics, strong Python and SQL skills required.
- Other info: Collaborative team culture with opportunities for mentorship and career advancement.
The predicted salary is between 28800 - 48000 £ 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: Initial list of benefits includes:
- Hybrid working with 2–3 office days per week.
- Holiday entitlement (25 days rising to 28 with service).
Pricing Analyst in London employer: Oodle Finance
Contact Detail:
Oodle Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to pricing analysis. Use your knowledge of Python and SQL to showcase your skills and how they apply to real-world problems.
✨Tip Number 3
Don’t just wait for job postings! Be proactive and reach out to companies you admire, like Oodle Car Finance. Express your interest in their work and ask if they have any upcoming opportunities.
✨Tip Number 4
When you get an interview, make sure to highlight your ability to translate complex data into actionable insights. This is key for a Pricing Analyst role, so share examples from your past experiences!
We think you need these skills to ace Pricing Analyst in London
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your experience with data analysis, programming, and any relevant tools like Python and SQL. We want to see how you've used these skills to make impactful decisions in your previous roles.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Pricing Analyst role. We love seeing candidates who understand what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, especially when it comes to complex topics. Show us you can translate your analytical findings into practical recommendations!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen on joining our team at Oodle Car Finance!
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 specific examples of how you've used statistical modelling or test design in previous roles. This will show that you can translate complex analysis into actionable insights.
✨Master Python and SQL
Since solid experience in Python and SQL is crucial for this role, make sure you can talk confidently about your programming skills. Prepare to discuss any projects where you've written reliable, reusable analytical code, and be ready to demonstrate your understanding of version control.
✨Understand Unit Economics
Familiarise yourself with unit economics and cashflow modelling before the interview. Be prepared to explain how these concepts apply to pricing strategies and profitability assessments. This knowledge will help you articulate key drivers during your conversation.
✨Communicate Clearly
You'll need to explain analytical findings to non-technical audiences, so practice simplifying complex concepts. Think of examples where you've successfully communicated insights to stakeholders, and be ready to share how you made those recommendations clear and practical.