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For Companies At a Glance
- Tasks: Lead complex credit card valuation models and share insights to guide strategy.
- Company: Join a fintech reshaping ethical consumer lending with a focus on customer experience.
- Benefits: Enjoy hybrid working, annual bonuses, enhanced pension, and generous holiday policies.
- Why this job: Make a real impact across product, finance, and commercial while thriving in a dynamic environment.
- Qualifications: 3+ years in valuations, strong Excel and SQL skills, and a degree in a relevant field.
- Other info: Birthday day off and family-first policies create a supportive workplace culture.
The predicted salary is between 42000 - 84000 £ per year.
Job Description
Senior Valuations Analyst – Consumer Lending
Hybrid – London | £70k + Bonus + Benefits
Ref: J12982
The Company
This ethical fintech is reshaping consumer lending—fair, transparent, and customer-focused. They’re looking for a Lead Valuations Analyst with strong modelling skills and a commercial mindset.
The Role
- Own and enhance credit card valuation models
- Use vintage data to track long-term cohort trends
- Refresh assumptions and sharpen forecasts
- Model new products, influence strategy
- Partner with finance, product, and commercial teams
- Cover revenue, cost, loss, and profitability modelling
- Automate and improve valuation workflows
- Monitor and explain forecast performance
About You
You bring solid consumer lending valuations experience, ideally in credit cards. Excel and SQL are second nature. Analytical, commercially sharp, and clear in communication.
Essentials
- 3+ years in valuations, credit, or finance
- Advanced Excel and strong SQL
- Degree in Maths, Stats, Finance, or similar
- Skilled in vintage data and financial modelling
- Comfortable in fast-moving settings
Bonus
- Experience grounding assumptions statistically
- Exposure to Python model migration
- Understanding of forecast integration
Package
- Up to £70k DOE
- Bonus, pension, private medical, life cover
- 25 days holiday
- Hybrid working
Senior Valuations Analyst employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Valuations Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in consumer lending and credit card valuations. Understanding the current market landscape will help you speak confidently about how your skills can contribute to the company's goals during interviews.
✨Tip Number 2
Brush up on your Excel and SQL skills, as these are crucial for the role. Consider working on sample projects or case studies that involve building financial models or analysing vintage data to showcase your expertise.
✨Tip Number 3
Prepare to discuss specific examples from your past experience where you've successfully led valuations or improved modelling processes. Being able to articulate your impact will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the fintech space, especially those involved in consumer lending. Engaging with industry peers can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Senior Valuations Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in valuations, particularly within consumer lending. Emphasise your strong financial modelling skills and any relevant projects that showcase your ability to lead on complex models.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in credit analysis and financial modelling aligns with their needs, and mention specific examples of how you've used vintage data to drive insights.
Highlight Technical Skills: Clearly outline your proficiency in Excel and SQL in both your CV and cover letter. Provide examples of how you've used these tools to build models or analyse data, especially in relation to credit card valuations or similar products.
Showcase Communication Skills: Since the role requires clear communication across technical and non-technical teams, include examples in your application that demonstrate your ability to translate complex data into actionable strategies. This could be through past presentations or reports you've created.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Modelling Skills
Be prepared to discuss your experience with financial modelling in detail. Bring examples of complex models you've built, particularly in credit card valuations, and be ready to explain your thought process and the impact of your work.
✨Demonstrate Your Analytical Mindset
Highlight your ability to analyse vintage data and track cohort performance. Discuss how you've used statistical methods to stress-test assumptions and refine inputs, as this will resonate well with the company's focus on data-driven decision-making.
✨Communicate Clearly
Practice explaining complex data insights in a straightforward manner. Since you'll be working across various teams, being able to translate technical jargon into actionable strategies for non-technical stakeholders is crucial.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach modelling new commercial opportunities or addressing discrepancies between actuals and forecasts, and be ready to share your thought process.
