At a Glance
- Tasks: Analyse data to optimise lending strategies and improve profitability.
- Company: Join a fast-growing fintech making a real impact on financial wellbeing.
- Benefits: 25 days holiday, hybrid working, generous perks, and career development opportunities.
- Why this job: Be part of a mission-driven team transforming lives through financial education.
- Qualifications: Experience in data analysis, SQL, and Python; passion for making a difference.
- Other info: Collaborative culture with regular socials and volunteer days.
The predicted salary is between 30000 - 50000 £ per year.
Working with employers, we provide a financial wellbeing platform as an employee benefit, helping employees to understand their money better, get out of debt faster and save for their future. We already have a reach of circa 4,000,000 employees through our relationships with over 500 of the largest employers in the UK. By improving employee financial wellbeing, we have a very real and meaningful impact on people’s lives. We remove the stress and worry associated with financial difficulties by dramatically reducing the interest rates employees pay on their personal debt, and provide them with the tools needed to start saving sooner and be more financially secure.
Your role in our mission
We are looking for an exceptional analyst who is eager to take true accountability of their work and evolve into an important strategic voice within the business. Sitting within the heart of the Credit Risk team, you will be responsible for dissecting and understanding our loan economics to improve company profitability while continuing to deliver excellent outcomes for our customers. This is an influential role where you will help define our loan pricing and manage risk, whilst working closely with Data Science, Commercial and Finance teams. This position is suitable if you are looking for either a junior or mid level role.
What you’ll do
- You will dive straight into the data to start optimising our lending strategies.
- Develop and improve models across our lending channels to improve Net Present Value (NPV).
- Gain a deep, granular understanding of our loan economics, identifying the levers that drive profitability and sustainability.
- Design, implement, and monitor pricing tests across all products, analysing the results to optimise our commercial strategy.
- Work on initiatives to enhance unit economics and iterate on our automated pricing models to ensure they remain effective and efficient.
- Collaborate with Data Scientists to support lending scorecard development.
About you
We are looking for a self-starter with a "can-do" attitude who thrives in a fast-paced, start-up environment. You should be passionate about using data to make tangible business differences.
What you’ll need to succeed:
- You have at least 6 months of experience in a data, strategy or commercial environment. This could be within Credit Risk, Data Science, Commercial Strategy, Pricing, or Marketing Analytics for example.
- You are comfortable writing complex queries to extract, manipulate, and analyse large datasets in SQL.
- You have intermediate skills in Python for data analysis, statistical modeling, or automation.
- You have a desire to build and improve tools and models rather than just maintaining existing processes.
- You are able to see the bigger picture and understand how data and credit decisions impact the P&L.
Nice to have:
- Previous experience within Financial Services or a Fintech environment.
- Specific exposure to unsecured lending, pricing, or risk modeling.
Who you are
- Fearless, and able to make the impossible possible.
- Responsible, and want to help build a business that delivers a meaningful difference to society.
- Dedicated and want to commit to an exciting journey even through the highs and lows.
- Empathetic and truly care about every colleague and customer.
- United, because you understand we achieve more when we work as a team.
- Humble, and take feedback as a way to continuously improve.
What do you get for all your hard work?
- 25 days holiday with an additional day off for every year of service up to 30 days and an extra day off on your birthday.
- Hybrid working arrangements so you can work from the office and from home with a budget to help you get set up.
- Generous company benefits to include pension and life assurance and an annual allowance to spend on medical insurance, health cash plan, denplan, gym memberships.
- Enhanced policies that are family and pet friendly, to include company sick pay and peternity leave.
- Great career development in a fast paced environment.
- Regular company socials (post covid, although we’ve got quite good at virtual ones too!).
- Volunteer days as part of our CSR program.
- More great perks to include weekly snacks, tuckshop, cycle to work, help to save and much more!
The typical interview process
- Phone call with our Talent Manager - 20 mins.
- Video interview with Hiring Manager - 30 mins.
- Final stage - An in-person session involving a practical Case Study and meetings with the Hiring Manager, Head of Department, and the wider team to assess cultural fit and problem-solving abilities - 2 hours.
We’re looking for people that will get stuck in and make a difference. We have a great collaborative, entrepreneurial team and are passionate about what we do. If you want to join a team that is changing people’s lives for the better then we’d love to hear from you.
Salary Finance is proud to be an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive work environment where all employees and applicants can flourish. If there’s anything we can do to accommodate your specific situation, please let us know.
Credit Risk & Pricing Analyst employer: Salary Finance
Contact Detail:
Salary Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk & Pricing Analyst
✨Tip Number 1
Get to know the company inside out! Research their mission, values, and recent news. This will help you tailor your conversations during interviews and show that you're genuinely interested in being part of their journey.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for those tricky interview questions! Think about how your skills in data analysis and risk management can directly impact their business. Use specific examples from your experience to demonstrate your value.
✨Tip Number 4
Don’t forget to follow up after your interviews! A quick thank-you email can leave a lasting impression and shows your enthusiasm for the role. Plus, it’s a great chance to reiterate why you’re the perfect fit!
We think you need these skills to ace Credit Risk & Pricing Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Credit Risk & Pricing Analyst role. Highlight your data analysis experience and any relevant projects you've worked on, especially those involving SQL and Python.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about financial wellbeing and how you can contribute to our mission. Share specific examples of how you've used data to drive business decisions in previous roles.
Showcase Your Analytical Skills: In your application, emphasise your ability to dissect data and draw meaningful insights. Mention any experience you have with pricing models or risk analysis, as this will resonate well with our team.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. This way, we can ensure your application gets the attention it deserves and you can easily track your progress!
How to prepare for a job interview at Salary Finance
✨Know Your Numbers
As a Credit Risk & Pricing Analyst, you'll be diving into data. Brush up on your SQL skills and be ready to discuss how you've used data to drive decisions in the past. Prepare examples of how you’ve optimised lending strategies or improved models.
✨Understand the Business Impact
Make sure you can articulate how credit decisions affect profitability and sustainability. Think about how your role contributes to the bigger picture and be prepared to discuss specific levers that drive profitability in your previous experiences.
✨Show Your Collaborative Spirit
This role involves working closely with Data Science, Commercial, and Finance teams. Be ready to share examples of how you've successfully collaborated in the past. Highlight your ability to communicate complex data insights to non-technical stakeholders.
✨Prepare for Practical Assessments
The final stage includes a practical case study. Familiarise yourself with common pricing tests and risk modelling scenarios. Practice articulating your thought process clearly, as they’ll be looking for your problem-solving abilities and cultural fit within the team.