LiberisAnalyst - Credit Risk
Liberis is hiring an Analyst - Credit Risk in London, United Kingdom. Level rates it ; you can apply on Liberis.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Python, SQL and credit risk.
- Level classifies it as a mid-level role.
- Level lists 20 other open roles at Liberis.
- The role was posted in the last few days.
AI in this role
Credit Risk Analyst responsible for building portfolio monitoring frameworks, analyzing credit data, and shaping credit risk strategies.
Some key info for you about Liberis:
🌱 We were founded in 2007
💰 We have provided over $3bn of funding to small businesses so far
🚀 We have been named in CNBC & Statista Top 150 UK Fintechs for 2025
🌍 We're a global team, with a dynamic presence in 6 key locations around the world
🧠 We're a thriving community of over 290 innovative minds
👩🏾 🤝 👨🏼 We're a vibrant melting pot, celebrating over 27 nationalities in our team
🏢 Our team brings experience from over 740 previous companies, from startups to global giants
🎯 We have just been named as one of FinTech’s Finest 50 by Welcome to the Jungle
💪 We’re proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do!
The team
We are the Risk team responsible for managing the credit risk of Liberis’ portfolios, which include designing effective new strategies, managing the credit quality of our products across geographies, and providing specialist credit risk advice to the business.
The Risk team is based in London and covers Risk analytics, Decision Science, Underwriting and Collections. Our mission is to grow Liberis profitably to become the leading embedded business finance provider and we are now looking for a Credit Risk Analyst to join us on this journey.
The roleWe're looking for someone who enjoys solving complex problems through data and analysis. This is an ideal role for an analytical thinker who is naturally curious, enjoys investigating trends and identifying opportunities, and is motivated by seeing their work influence real business decisions.
You'll be comfortable taking ownership of projects - framing problems, conducting deep analysis, developing recommendations and working with stakeholders to implement change. While experience in credit risk is beneficial, we're primarily looking for an individual with strong analytical capability, commercial thinking and a track record of turning data into actionable insights.
Reporting to the Risk Manager, you'll help shape Liberis' credit risk strategy by delivering analytical insights, developing portfolio monitoring frameworks and driving strategic initiatives across our global products. You'll work closely with teams across Risk, Data Science, Analytics, Product, Pricing and Commercial to ensure our lending decisions support sustainable growth while remaining within our risk appetite.
What you'll get to do:
- Build and improve portfolio monitoring frameworks, turning data into clear insights and recommendations.
- Monitor losses, delinquencies, inactivity, repayment trends and vintage performance to assess portfolio health and identify emerging risks.
- Investigate changes in performance, explain their causes and identify opportunities to improve outcomes or support growth.
- Use your analysis to inform credit risk strategies, including where customer eligibility could be expanded or tightened.
- Develop forecasting models to better understand future risk and contribute to budgeting and planning.
- Work with colleagues across risk and the first line to understand problems, communicate findings and recommend action.
- Deliver analytical projects across the portfolio, showing how your work contributes to business decisions rather than stopping at a report or dashboard.
The interview process:
- Screening call with Chess (Internal Recruiter) (30 mins)
- Video interview with the Hiring Manager (1 hour)
- Task based interview with the Risk Team (90 mins)
What we think you'll need
- Hands-on data analysis skills, including SQL or BigQuery experience, and the ability to apply those skills to unfamiliar tools. Our current analytics environment includes BigQuery and Looker.
- The ability to move from data to an explanation: identifying patterns, investigating why they're happening and making practical recommendations.
- Clear communication, including the ability to explain your own contribution to a project, your analytical approach and what changed as a result.
Next steps If this opportunity feels like the right fit for your next career move, we’d love to hear from you!
Even if you don’t meet every requirement, don’t hesitate to apply or reach out to Chess (Internal Recruiter) on chess.crossley@liberis.com
Our hybrid approach
Working together in person helps us move faster, collaborate better and build a great Liberis culture. Our hybrid working approach requires colleagues to attend the office at least three days a week, increasing to at least four days a week in Q1 2027
#LI-FC1
How we rate this
Analyst - Credit Risk at Liberis rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where credit risk was part of your work. What did you do?
- Tell me about a project where risk analytics was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where portfolio monitoring was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Credit Risk, Risk Analytics, Data Analysis, Portfolio Monitoring, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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