Cleo
Data Science Manager, Finance Analytics
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Most money apps talk at you. Cleo talks back ✨
We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance.
The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money.
We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in.
Follow us on LinkedIn for new features and the occasional roast 🔥
Meet the team 👥
Here at Cleo, we have ~70 Data Scientists (Product Analysts) working embedded into our Pillars ✨ They stay connected and share knowledge consistently through monthly meetings and slack channels to scale approaches and ensure everyone learns in the same way. They thrive through clear communication with their squad and stakeholders to influence product or company decisions, being that bridge between the non-tech and technical sides of the team. We have deeply structured data and a great experimentation culture using StatSig for all analysts to dive into!
About The Role ✍️
We're hiring a Data Science Manager, Strategic Finance Analytics to lead one of the most cross-functional and high-leverage analytics functions at Cleo. You'll manage the Strategic Finance sub-team - 5 data scientists embedded across FP&A, Core Finance, Capital Markets, and Operations - reporting into the Director of Commercial Analytics. This is a people management role as much as a technical one: roughly 70% people leadership, 30% hands-on, split across the highest-leverage analyses, exec presentations, and the analytical roadmap.
- Lead the Strategic Finance Analytics team, owning growth, performance, and hiring for the 5 data scientists across FP&A, Core Finance, Capital Markets, and Operations
- Set and prioritise the analytical roadmap across all four domains, directing the team's time to the work that moves the business most
- Act as the senior analytical partner to Heads of department, shaping decisions at exec level rather than just delivering numbers
- Stay hands-on on high-stakes or sensitive analysis, or decisions that need to move fast
- Own the quality bar - metric definitions, documentation, peer review, and trust in the numbers across internal and external reporting
- Raise the craft of the team through feedback, pairing, and playbooks so output scales beyond what 5 people can deliver directly
- Partner with Analytics and Data Engineering on the data foundations the team relies on
- Run team rituals and represent the team in cross-functional forums
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What we're looking for 🕵️
- 7+ years in data analytics, data science, BI engineering, analytics engineering, or hybrid data/finance roles, including 2+ years line managing data scientists or analysts with experience handling performance management
- Track record partnering senior business stakeholders - ideally across Finance, Strategic Finance, Capital Markets, or Operations - and shaping decisions at exec level
- Familiarity with forecasting and predictive models, enough to interpret outputs, pressure-test assumptions, and direct ICs working in this space
- Strong commercial instincts: deep grasp of financial and operational metrics, quick to pick up the levers in a new domain
- Comfortable being the most senior voice in the room on data, and pushing back constructively when the analysis doesn't support the ask
- Expert SQL, hands-on with BI tools (e.g. Looker, Mode, Tableau) and dbt
- A builder's instinct - bias for automation, ownership, and shipping - plus the leadership instinct to scale that across a team through delegation, templates, and systems
- Comfortable using AI tools (Claude, Cursor) as leverage, with the judgement to know when to trust output and when to verify
- Interest in fintech and Cleo's mission to make money easier and more human
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Nice to have:
- Exposure to capital markets, debt facility reporting, or lender-side analytics
- Prior experience automating or supporting investor-facing reporting or board materials
- Experience in environments blending consumer tech and financial services (e.g. AI, lending, credit, payments)
- Extensive hands-on experience building and/or monitoring forecasting or predictive models in production
- Python (or similar) for scripting and automation
- Workflow orchestration tooling (e.g. Airflow)
What we offer
We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health, dental and vision insurance, mental health support, a paid one-month sabbatical after four years, a learning and development platform, pension or retirement contributions, and location-specific leave entitlements.
For the full breakdown on what's available in your location, visit our Candidate Hub 👈
What Matters
Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their metris.
We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know.
We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!
Compensation Range: £87.4K - £120K
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