At a Glance
- Tasks: Analyse data to optimise pricing strategies and improve customer outcomes.
- Company: Join a dynamic team within a leading financial services company.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities for junior analysts.
- Why this job: Make a real impact on pricing strategies and enhance your analytical skills.
- Qualifications: 2-4 years in pricing or analytics with strong Python and SQL skills.
The predicted salary is between 35000 - 42000 € 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.
Requirements:
- 2 - 4 years’ experience in pricing, credit risk, consumer finance analytics, or a similar quantitative field where you’ve demonstrated measurable impact.
- Strong quantitative skills, including statistical modelling, test design, and interpreting analytics (e.g., regression, classification, uplift, segmentation, forecasting, and performance metrics).
- Solid Python experience and confidence with SQL; comfortable creating reliable, reusable analytical code and working with version control.
- Ability to translate complex analysis into clear, practical recommendations for non-technical audiences.
- Understanding of unit economics or cashflow modelling (or relevant experience in a related profitability or forecasting discipline).
- A commercially aware mindset and strong judgment, balancing precision with pragmatism.
- Experience working in production or “operational analytics” environments (e.g., monitoring, controls, parameter updates, documentation, and change processes).
- Degree or equivalent experience in a quantitative subject (e.g., Mathematics, Statistics, Economics, Engineering, Computer Science).
What the job involves:
- You’ll be part of the Pricing & Profitability team within Credit Risk, working closely with colleagues across Commercial, Product, Data Science, and Engineering.
- 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 (e.g., funding cost movements, loss rate changes, channel mix shifts).
- 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.
Pricing Analyst employer: Deepstreamtech
As a Pricing Analyst at our company, you will thrive in a dynamic and collaborative environment that values data-driven decision-making and innovation. We offer a supportive work culture that encourages professional growth through mentorship and exposure to diverse projects across pricing and profitability strategies. Located in a vibrant area, our team enjoys a balance of challenging work and opportunities for personal development, making us an excellent employer for those seeking meaningful and impactful careers.
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, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Pricing Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those involving Python and SQL. We want to see how you turn data into actionable insights, so make sure to highlight your best work.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical modelling and test design knowledge. We recommend practising common interview questions related to pricing strategies and unit economics to really impress your potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search and genuinely interested in joining our team.
We think you need these skills to ace Pricing Analyst
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your experience with data analysis and programming in your application. We want to see how you've used your quantitative skills to make a real impact in previous roles, so don’t hold back!
Keep It Clear and Concise:When explaining your analytical findings or experiences, remember to keep it simple. We love candidates who can translate complex ideas into straightforward recommendations that anyone can understand.
Tailor Your Application:Take the time to tailor your application to the Pricing Analyst role. Mention specific experiences that relate to pricing strategies, unit economics, or any relevant projects you've worked on. This shows us you’re genuinely interested!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Deepstreamtech
✨Know Your Numbers
Brush up on your quantitative skills before the interview. Be ready to discuss statistical modelling, regression analysis, and how you've used these in past roles. Prepare examples that showcase your ability to turn data into actionable insights.
✨Show Off Your Coding Skills
Since this role requires solid Python and SQL experience, make sure you can talk about specific projects where you've used these languages. Bring along code snippets or examples of analytical tools you've built, and be prepared to explain your thought process.
✨Understand the Business Impact
Familiarise yourself with unit economics and cashflow modelling. Be ready to discuss how your analyses have influenced pricing strategies or improved profitability in previous roles. This shows you understand the commercial side of analytics.
✨Communicate Clearly
Practice explaining complex analyses in simple terms. You might need to present your findings to non-technical stakeholders, so think about how you can convey your insights clearly and confidently. Use real-life examples to illustrate your points.
