Pricing Analyst

Pricing Analyst – Oodle Car Finance

Location:

London (70 St Mary Axe, Liverpool Street Station). Hybrid working model: 2‑3 days per week in the office.

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.

• 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 shaping hypotheses to designing tests, supporting implementation, monitoring performance, and evaluating statistically robust outcomes.
• Carry out scenario and sensitivity analysis to understand how pricing strategies perform under different market conditions.
• Build and maintain unit economics models and cashflow forecasts to assess profitability at segment and channel level, clearly articulating key drivers.
• Shape and evaluate introducer commission strategies, identifying incentives, monitoring economics, and assessing interactions with pricing, volume, and selection effects.
• Partner with Commercial teams to provide insight on risk‑adjusted returns and product performance, supporting both strategic and tactical decisions.
• Improve analytical tools, workflows, and controls (e.g. reusable Python modules, reproducible processes, documentation), and support governance for pricing and profitability models.
• Communicate analytical findings confidently and clearly with senior stakeholders, explaining model behaviour, trade‑offs, limitations, and recommended actions.
• Support and coach junior analysts through peer review, sharing best practice, and helping to enhance the team’s overall capability and pace.

• 2–4 years in pricing, credit risk, consumer finance analytics, or a similar quantitative field with measurable impact.
• Strong quantitative skills: statistical modelling, test design, regression, classification, uplift, segmentation, forecasting, performance metrics.
• Solid Python and SQL experience; comfortable creating reliable, reusable analytical code and using version control.
• Ability to translate complex analysis into clear, practical recommendations for non‑technical audiences.
• Understanding of unit economics or cash‑flow modelling (or related profitability or forecasting experience).
• Commercially aware mindset and strong judgement, balancing precision with pragmatism.
• Experience in production or operational analytics environments (monitoring, controls, parameter updates, documentation).
• Degree or equivalent in a quantitative subject (Mathematics, Statistics, Economics, Engineering, Computer Science).

In‑office interview lasting 1 hour 30 minutes.

• 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.

Oodle is proud to be an inclusive workplace. If you need a reasonable adjustment to the interview process, please email