Credit Risk Analytics Manager

Credit Risk Analytics Manager

Full-Time 36000 - 60000 £ / year (est.) No working from home possible
cleo

At a Glance

  • Tasks: Lead credit risk analytics to optimise Cleo's credit performance and drive sustainable growth.
  • Company: Join Cleo, a fast-growing fintech unicorn on a mission to transform financial relationships.
  • Benefits: Competitive salary, equity options, flexible work, and generous leave policies.
  • Other info: Mentorship opportunities and a supportive culture focused on personal and professional growth.
  • Why this job: Make a real impact in a dynamic environment while shaping the future of finance.
  • Qualifications: Strong analytical skills, experience with SQL, and ability to communicate complex insights.

The predicted salary is between 36000 - 60000 £ per year.

About Cleo

At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast-growing unicorn with over $200 million in ARR and growing over 2x year-over-year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference.

About The Role

We're looking for a Credit Risk Analytics Manager to lead the measurement, monitoring, and optimisation of Cleo's credit performance. This is a high-impact role at the heart of how we manage risk and drive sustainable growth. You'll own the frameworks, metrics, and deep-dive analyses that keep our credit products healthy and ensure that when performance shifts, we understand why and act quickly. You'll lead a team of analysts to deliver clear, actionable insights across arrears, yield, LTV, and portfolio performance, working closely with Credit Policy, Decision Science, Product, and Finance. You'll be setting the measurement standards for the company, diagnosing portfolio trends, and shaping how we evaluate and implement policy changes. This role is ideal for someone who thrives at the intersection of data, systems thinking, and stakeholder influence.

Key Responsibilities

  • Credit Performance Measurement & Monitoring: Own the design and maintenance of Cleo's credit risk metric framework, including arrears, default, yield, LTV, and marginal loss rates. Build and maintain dashboards and alerts for early detection of arrears, roll-rate shifts, and decisioning anomalies. Ensure definitions, thresholds, and escalation processes are consistent, documented, and used company-wide.
  • Model Understanding & Monitoring: Interpret and communicate model outputs, including score distributions, calibration, and feature contributions. Detect and diagnose feature shift or concept drift, ensuring model inputs remain valid and predictive. Lead investigations into performance deviations, separating model-driven changes from macro or operational causes.
  • Analytical Deep-Dives: Lead root cause analysis for deterioration in key metrics such as arrears spikes or yield compression. Deliver driver analysis (SHAP, feature importance, decomposition) for changes in portfolio performance. Quantify the risk-adjusted impact of new or changing product features on portfolio health.
  • Policy & Decisioning Support: Partner with Credit Policy and Decision Science to design robust evaluation frameworks for policy changes. Quantify the marginal impact of policy shifts, controlling for macro or seasonal effects. Support elasticity and profitability modelling to optimise amounts, pricing, and feature-level decisioning.
  • Team Leadership & Stakeholder Management: Manage and mentor credit analysts, setting clear priorities and deliverables. Translate complex analytical findings into clear business implications for senior leadership. Build strong cross-functional relationships with Commercial, Product, Data Science, and Finance.

What We're Looking For

  • Experience & Skills: Strong analytical skills with fluency in SQL; experience with Python or R is a plus. Ability to interpret and communicate model performance metrics, feature importance, and confidence intervals. Background in collaborating with decision science or data science teams on feature engineering and model evaluation. Experience building and maintaining performance monitoring systems and alerting frameworks. Comfortable diagnosing model drift and distinguishing between model, macro, and operational impacts on model performance. Experience collaborating with commercial and finance teams on business metric forecasting.
  • Leadership & Influence: Experience managing or mentoring analysts and structuring team output for maximum impact. Skilled at translating technical analysis into actionable recommendations for senior stakeholders. Able to balance short-term monitoring needs with long-term framework building.
  • Nice To Have: Familiarity with short-term or revolving credit products. Experience working with both UK and US regulatory frameworks.

What do you get for all your hard work?

  • A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles.
  • Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures.
  • A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support.
  • Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work.
  • Work where you work best. We're a globally distributed team. If you live in London we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally.

Other Benefits

  • Company-wide performance reviews every 6 months.
  • Generous pay increases for high-performing team members.
  • Equity top-ups for team members getting promoted.
  • 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days).
  • 6% employer-matched pension in the UK.
  • Private Medical Insurance via Vitality, dental cover, and life assurance.
  • Enhanced parental leave.
  • 1 month paid sabbatical after 4 years at Cleo.
  • Regular socials and activities, online and in-person.
  • We'll pay for your OpenAI subscription.
  • Online mental health support via Spill.
  • Workplace Nursery Scheme.
  • And many more.

Welcoming Everyone

We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know.

Credit Risk Analytics Manager employer: cleo

Cleo is an exceptional employer, offering a dynamic work environment where innovation meets purpose. As a rapidly growing fintech unicorn based in London, we provide our employees with competitive compensation, generous benefits, and a clear progression plan to foster personal and professional growth. Our collaborative culture encourages flexibility and inclusivity, ensuring that every team member can thrive while contributing to our mission of transforming financial accessibility for all.

cleo

Contact Details:

cleo Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Credit Risk Analytics Manager

Tip Number 1

Network like a pro! Reach out to current or former Cleo employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

Tip Number 2

Prepare for the interview by diving deep into Cleo's mission and values. Show us how your skills align with our goal of transforming financial relationships. We love candidates who are genuinely passionate about what we do!

Tip Number 3

Practice your storytelling! Be ready to share specific examples of how you've tackled complex challenges in your previous roles. We want to see how you think and solve problems, especially in credit risk analytics.

Tip Number 4

Don’t forget to follow us on LinkedIn! Staying updated on our latest news and product features can help you tailor your conversations during interviews and show that you're genuinely interested in joining our team.

We think you need these skills to ace Credit Risk Analytics Manager

Analytical Skills
SQL
Python
R
Model Performance Metrics Interpretation
Feature Importance Analysis
Performance Monitoring Systems

Some tips for your application 🫡

Show Your Passion:When you're writing your application, let your enthusiasm for the role and our mission shine through. We want to see that you’re not just looking for a job, but that you genuinely care about making a difference in the fintech space.

Tailor Your CV:Make sure your CV is tailored to highlight the skills and experiences that are most relevant to the Credit Risk Analytics Manager role. We love seeing how your background aligns with what we’re looking for, so don’t be shy about showcasing your analytical prowess!

Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured responses that get straight to the heart of your experience and how it relates to the role. Avoid fluff and focus on what makes you a great fit for us.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re proactive and keen to join our team!

How to prepare for a job interview at cleo

Know Your Metrics

Before the interview, brush up on key credit risk metrics like arrears, yield, and LTV. Be ready to discuss how you would design and maintain a credit risk metric framework, as this will show your understanding of the role's core responsibilities.

Showcase Your Analytical Skills

Prepare to demonstrate your analytical prowess with SQL and any experience you have with Python or R. Bring examples of past projects where you interpreted model outputs or conducted root cause analyses, as this will highlight your technical capabilities.

Communicate Clearly

Practice explaining complex analytical findings in simple terms. You might be asked to summarise driver analysis for senior leadership, so being able to translate technical jargon into actionable insights is crucial.

Build Relationships

Think about how you can foster strong cross-functional relationships. Be prepared to discuss how you've collaborated with teams like Credit Policy and Decision Science in the past, as this will demonstrate your ability to work effectively within a team-oriented culture.