Data Science Chief of Staff

Role Overview

• 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

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

Tech Stack

• Python
• SQL

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