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