At a Glance
- Tasks: Develop and monitor credit risk strategies to support small businesses.
- Company: Liberis, a leading embedded business finance provider.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and flexibility.
- Why this job: Make a real impact on small businesses while developing your analytical skills.
- Qualifications: 2-4 years in credit risk analysis with strong data skills.
The predicted salary is between 50000 - 60000 £ per year.
At Liberis, our mission is to empower small and medium-sized businesses by removing finance as a friction to growth, delivering contextual, embedded financial solutions to support merchants at every stage of their business lifecycle.
The Risk team is 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.
You are someone that is excited by the prospect of a challenge, appreciate autonomy and the space to generate your own ideas and are passionate about finance that serves to support small businesses, not just turn a profit. Reporting to the Risk Manager you will develop best in class credit risk strategies that reward our members and deliver value to Liberis. You will have the opportunity to work on a broad range of projects and workstreams that provide credit risk insights while ensuring we stay within the organisation’s risk appetite.
You should have experience in a similar analytical role in the credit risk environment where you have used statistical and analytical tools to drive innovative strategy changes. You should be able to derive insights from data and be able to present results in a concise way to relevant stakeholders.
What you will be doing:
- Develop and monitor credit risk strategies, balancing risk against returns. These strategies may cover a variety of different channels and products, and cover the full credit lifecycle, from new business to Collections.
- Develop and maintain frameworks to monitor portfolio risk performance, ensuring it’s within agreed risk appetite; transforming data into recommendations.
- Lead analytical deep-dives into portfolio trends and emerging risks.
- Represent risk to the wider business, driving changes via the product team and presenting analytical work to senior management.
- Identify and deliver risk performance improvements across Liberis’ existing and new products globally - from pricing adjustments to policy changes.
- Closely collaborate with colleagues across Liberis, especially in the Analytics, Data Science, Partnerships, Pricing and UK/US/European teams.
What we think you'll need:
- 2–4 years of experience in an analytical role working on credit risk strategies, portfolio analysis, or lending products.
- Demonstrated ability to identify emerging risks and propose practical actions or strategy changes based on data.
- Evidence of taking ownership of analyses and driving work through to recommendations and outcomes.
- Good commercial awareness - able to balance risk and return when forming recommendations.
- Experience working across functions - comfortable managing stakeholders at different levels, presenting risk recommendations to product, commercial, or leadership teams, and adapting your message to the audience.
- Hands‑on experience with data (SQL, Python, SAS or similar), strong Excel skills, Google Cloud Platform tools (Looker, dbt, Big Query) or Power BI.
- Clear communication skills, with the ability to explain complex findings simply and persuasively.
What happens next?
Think this sounds like the right next move for you? Or if you’re not completely confident that you fit our exact criteria, apply anyway and we can arrange a call to see if the role is fit for you. Humility is a wonderful thing, and we are interested in hearing about what you can add to Liberis!
Our hybrid approach:
Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week, but ideally 4 days. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office.
Credit Risk Analyst London, United Kingdom employer: Liberis Limited
Contact Detail:
Liberis Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Analyst London, United Kingdom
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Liberis. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by diving deep into credit risk strategies. Brush up on your analytical skills and be ready to discuss how you've used data to drive decisions. Show us you're passionate about supporting small businesses!
✨Tip Number 3
Don’t just apply; engage! When you submit your application through our website, follow up with a quick email expressing your enthusiasm. It shows initiative and keeps you on our radar.
✨Tip Number 4
Be ready to showcase your communication skills. Practice explaining complex data insights in simple terms. We want to see how you can present your findings to different stakeholders effectively!
We think you need these skills to ace Credit Risk Analyst London, United Kingdom
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Credit Risk Analyst. Highlight your experience in credit risk strategies and analytical roles, and don’t forget to mention any relevant tools you’ve used like SQL or Python. We want to see how your skills align with our mission at Liberis!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for supporting small businesses through finance. Share specific examples of how you've driven strategy changes in previous roles, and let us know why you’re excited about joining the Risk team at Liberis.
Showcase Your Analytical Skills: In your application, be sure to showcase your analytical skills. Mention any projects where you’ve derived insights from data and how those insights led to actionable recommendations. We love seeing candidates who can turn complex data into clear, concise findings!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we’re always on the lookout for passionate individuals who want to join us on our journey at Liberis!
How to prepare for a job interview at Liberis Limited
✨Know Your Numbers
As a Credit Risk Analyst, you'll need to be comfortable with data. Brush up on your SQL, Python, or any relevant analytical tools before the interview. Be ready to discuss how you've used these skills in past roles to drive strategy changes or identify risks.
✨Understand the Business
Familiarise yourself with Liberis' mission and how they empower small businesses. Think about how your experience aligns with their goals. Prepare examples of how you've balanced risk and return in previous roles, as this will show you understand the commercial side of credit risk.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think of specific instances where you've identified emerging risks or made recommendations based on data analysis. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Communicate Clearly
You'll need to present complex findings to various stakeholders, so practice explaining your analyses in simple terms. During the interview, focus on clarity and conciseness when discussing your past work. This will demonstrate your ability to communicate effectively with both technical and non-technical audiences.