Data Science Chief Of Staff
Indexed description
And we've shown it works at scale. We’ve issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch.
Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we’re recognised as one of Europe’s fastest-growing fintechs (Sifted, CNBC). Now, we’re expanding into new markets and product lines - and we’re looking for ambitious people who want to learn fast, take ownership, and grow with us.
About The Role
We are hiring a Chief of Staff to act as the DS Director's right hand, with full visibility across a fast-scaling Data Science and Credit Risk organisation that builds and runs the decisioning, pricing and credit models behind every Abound product - across multiple verticals and markets.
This is a high-impact role for someone early in their career who is exceptionally curious and operates with real autonomy. You won't be handed a playbook. You'll be handed context, access and a mandate - and trusted to figure out the rest.
Your mission is simple: make sure that the DS and Risk team is
- working on the right business priorities, and understanding the business impact
- delivering at pace without introducing unnecessary bureaucracy
- operating with great discipline and consistency (incl. change controls, reporting and communication)
- Maintain the single trusted view of all DS and Risk work across product verticals: status, owners, risks, dependencies
- Chase blockers, connect people who should be talking, and make sure commitments actually land
- Surface problems early and drive them to fast resolution
- Build and run the monitoring layer across our model estate: performance drift, stability, data quality, alerting
- Define and run the rituals that catch problems early: model health reviews, incident follow-ups, documentation checks
- Coordinate model deployments and bug fixes, and monitor the health of our services and decisioning APIs day to day
- Dig into anomalies yourself first, then pull in the director or senior scientists when a judgment call is needed
- Run the core operating rhythm of the DS organisation: planning cycles, delivery reviews, team learning forums
- Manage the change control process, including
- make sure senior stakeholders (e.g. DS Director, Head of Credit Risk, CRO) explicitly approve material changes to decisioning models
- monitor post-change impact vs. expectation by working with the team
- Prepare crisp, decision-ready material for the DS Director, the CRO and exec team
- Manage dependencies across DS verticals, credit risk, engineering, product and compliance
- Help run prioritisation so trade-offs across products are made deliberately, not by accident
- Run the DS hiring engine end to end: pipeline tracking, interview quality, and onboarding that gets new joiners productive fast
- Help scale the team's knowledge sharing, documentation and ways of working
- Support the performance management process
- Reduce the Director's overhead on coordination, tracking and follow-up
- Create space for focus on credit strategy, model innovation and the team
- Be a thought partner on whatever matters most that month
- 2-4 years in a quantitative, analytical or operational role - data science, analytics, management consulting, fintech, or similar
- Ideally, someone who managed projects end-to-end, e.g. an engagement manager in a consulting firm
- Genuinely curious about how lending and credit models work: you don't need to have built one, but you'll want to understand ours, and you're comfortable enough in SQL/Python to look at the data yourself
- Demonstrably autonomous: you can point to things you started, built or fixed without being asked
- Ruthlessly organised and a clear writer: you turn chaos into structure and never drop a thread
- Low ego, high ownership: equally happy presenting to the exec team and fixing an interview scheduling mix-up
What We Offer
- Everyone owns a piece of the company - equity
- Hybrid with 3 days a week in the office
- 25 days' holiday a year, plus 8 bank holidays
- 2 paid volunteering days per year
- One month paid sabbatical after 4 years
- Employee loan
- Free gym membership
- Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering
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