abound - Data Science Chief Of Staff
Requirements
• 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 • You are curious but structured, ambitious but humble. You earn authority by being consistently right and useful, not by title.
Responsibilities
• Execution & follow-through • 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 • Model & system health • 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 • Operating cadence • 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 • Cross-team execution • 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 • DS Director leverage • 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
Benefits
• 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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