At a Glance
- Tasks: Lead a team to build and deploy impactful machine learning models for risk decisioning.
- Company: Join Cleo, a fast-growing fintech unicorn transforming financial relationships.
- Benefits: Competitive salary, equity options, and regular performance reviews.
- Other info: Dynamic startup environment with significant career growth opportunities.
- Why this job: Shape the future of finance with cutting-edge technology and a passionate team.
- Qualifications: Extensive ML experience and proven team management skills required.
The predicted salary is between 120000 - 150000 £ 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 $300 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 Linked In to keep up to date with new product features and insights from the team.
About The Role You’ll join the existing Risk Decisioning data science function here at Cleo; a thoughtful and collaborative team of ML engineers, analysts, and data engineers 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 machine learning that underpins our Risk Decisioning feature.
Check out this blog on Isabelle's journey in ML at Cleo.
What You’ll Be Doing Understanding core problems faced by our Risk Decisioning team and coordinating the ML function’s contribution to solving them.
Finding opportunities for model and product improvements in Cleo’s extensive datasets of customer behaviour.
You’ll be responsible for people management of the ML engineers in your squads, coaching and developing them to deliver on the roadmap.
You’ll build out the headcount plan and will be responsible for all hiring and team development within your area to support our growth.
About You Extensive experience building and deploying Machine Learning models to production.
Experience managing and developing high performing teams of data scientists and ML engineers.
Habits of keeping abreast of the latest research and experimenting productively with new technologies.
Experience owning an ML roadmap, driving new ideas through to seeing business impact.
Ability to write production quality Python code and a willingness to be somewhat hands‑on.
Nice to haves Domain knowledge of traditional risk models.
A strong ability to communicate findings to non‑technical stakeholders in a concise and engaging manner.
Experience with containers and container orchestration: Kubernetes, Docker, and/or Mesos.
Experience using vector databases such as Open Search.
The recruitment process Interview with a Recruiter (30 mins) Interview with the Hiring Manager (30 mins) Python Programming Interview (45 mins) Whiteboard Interview (60 mins) Management Skills Interview (60 mins) What do you get for all your hard work?
A competitive compensation package (base + equity) with 3‑yearly reviews, aligned to our termly OKR planning cycles.
The salary bandings for this position are: UK Hybrid: £120,000 – £150,000 UK Remote: £110,400 – £133,400 Europe: €126,000 – €152,250 Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton
