Overview

Senior Machine Learning Engineer - Credit Risk role at 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. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you’re driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo’s success as we scale, while growing alongside a company that’s scaling fast, this might be your perfect fit.

Follow us on LinkedIn to keep up to date with new product features and insights from the team.

The team

You’ll join the existing data science function here at Cleo; a thoughtful and collaborative team of dedicated data scientists, ML engineers, and analysts with significant industry experience that is at the heart of everything we do at Cleo. You’ll build and deploy production models that developers will feed directly into the product. This position is essential in the expansion of both product and business. We are highly data driven, whether that be understanding natural language, deriving insights from financial data, or determining which financial product is best suited to a user. We have interesting problems to solve on an ever-increasing scale.

You’ll be working on a hugely impactful workstream, focused on the decisioning process that underpins our Cash Advance product. You’ll be working on business critical projects that influence our lending policies and impact the users that utilise this feature. The team focuses on understanding user’s cashflow, including payment data and risk profiles - this data is then modelled to work out credit risk for each user.

What You’ll Be Doing

• Improving our current machine learning models.
• Exploring alternative modelling approaches, including causal modelling techniques.
• Work closely with credit analysts to manage our credit risk and drive improvements to our credit policies.
• Finding opportunities for model and product improvements in Cleo's extensive datasets of transactions, bank balances, and customer behaviour.
• Understanding core problems faced by our Payments & Lending team and leading the team to overcome them - this could include understanding user’s solvency, customer segmentation, payment processing, and more!
• Impacting Cleo’s bottom line through improving our eligibility and decisioning systems.

If you want to hear more from the Data Science team, check out Laurence's blog post.

About You

• Extensive experience in data science or related roles.
• Ability to write production quality code in Python and SQL.
• Experience deploying machine learning algorithms into production.
• Experience conducting A/B experiments & measuring impact.
• Strong understanding of classification models. Ideally within risk, or more broadly with imbalanced data.
• A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner.
• Habits of keeping abreast of the latest research and experimenting productively with new technologies.
• Experience leading data science initiatives and taking ownership of services or models.
• Experience proactively influencing the ML roadmap, driving new ideas with impact.

Nice to have

• Experience with containers and container orchestration: Kubernetes, Docker, and/or Mesos, including lifecycle management of containers
• Experience working with AWS technologies such as EC2, S3, Sagemaker

What you get

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles. You can view our public progression framework and salary bandings here: https://cleo-ai.progressionapp.com/
• 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!

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.

UK App access: The Cleo app is no longer downloadable in the UK (but only until next year). If you’re an existing user, you’ll still have access to the app. But some features won’t be available (just for a little while). Why? 99% of our users are based in the US – where financial health is often overlooked. We’ve decided to shift our focus to where we can provide the most value and make the greatest impact for users who need it most. Then we’ll be able to apply what we learn to better support our UK users in the future.

Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology

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