About the Position

Director of Data Science, Financial Services

About the Company

Cleo is revolutionizing the financial services industry by building the world's first AI financial assistant. With over $300M in ARR and millions of users, we are on a mission to change the world's relationship with money. Our team thrives on innovation, speed, and transparency, and we are looking for a senior analytics leader to join us.

Location

United Kingdom (Hybrid)

Employment Type

Full time

Department

Technology

About the Role ✍️

We're hiring a senior analytics leader to own the analytics strategy and operating model across Cleo's Financial Services Product pillars. You'll lead and develop the analytics leadership layer itself - L4/L5 managers and senior ICs - setting company-level standards for metrics, experimentation, and reporting across pillars.

Own the analytics strategy and operating model across Financial Services Product pillars - coherent measurement, experimentation, and insight cadence mapped to company priorities
Lead and develop the analytics leadership layer (L4/L5 managers and senior ICs), building a strong bench, growth plans, and succession so the function doesn't rely on any single person
Drive the experimentation programme as a product - fixing structural issues like single source of truth, standard bucketing, automated conflict detection, sizing and priors - and raise the bar on rigour across squads
Improve observability of live user flows and metric movements, partnering with Engineering on the event framework and product-health reporting
Champion responsible use of agentic AI as a force multiplier for analytics, with sensible guardrails
Partner with Product, Credit, Engineering, Commercial, and ML leadership to shape roadmaps and trade-offs with evidence, giving senior leadership clear visibility on what's driving key metrics
Set and enforce company-level standards for metrics, experimentation, and reporting, reducing duplicated, siloed work across pillars

Responsibilities

Own the analytics strategy and operating model across Financial Services Product pillars
Lead and develop the analytics leadership layer (L4/L5 managers and senior ICs)
Drive the experimentation programme as a product
Improve observability of live user flows and metric movements
Champion responsible use of agentic AI as a force multiplier for analytics
Partner with Product, Credit, Engineering, Commercial, and ML leadership
Set and enforce company-level standards for metrics, experimentation, and reporting

Requirements

8+ years in data analytics, data science, BI engineering, or analytics engineering, ideally in a high-growth, product-led company
Proven management experience of at least 4+ ICs
Deep experimentation expertise beyond stat-sig testing - fixing structural problems in a testing programme: bucketing, conflicts/collisions, sizing, priors, governance
A builder's instinct: bias for automation, ownership, and shipping
Ability to set standards and an operating model that teams actually adopt, measurably improving delivery beyond a single team
Commercial sense - can translate product/user metrics into revenue, profitability, and LTV, and hold your own with Product Directors and Commercial stakeholders
Systems thinker, comfortable in a mature, complex product environment with interacting parts (e.g. payments, credit risk, ML models feeding user experience)
Exec-ready storytelling - can synthesise across pillars, land insight at the right moment, and set and defend targets with senior stakeholders
Player-coach instinct - creates leverage through delegation, templates, and self-serve, but goes hands-on on the highest-leverage or most ambiguous problems when needed
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

Nice to Have

Causal inference depth (CUPED, Bayesian methods, PSM, uplift modelling) and the judgement to know when it's worth the effort
Genuine enthusiasm for agentic AI as a force multiplier in analytics workflows
Credit-risk analytics exposure - arrears, defaults, how ML risk models interact with product analytics and UX
Fintech, personal finance, lending, or high-growth consumer subscription experience

We Offer

We offer a 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 merits.

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!

Director of Data Science, Financial Services

Job description