Lead and mentor a team of Machine Learning experts through consistent one-on-one meetings, constructive feedback, and personalized development strategies.
Guide the Fraud domain in prioritizing machine learning initiatives that balance customer safety, compliance demands, operational efficiency, and speed of delivery.
Collaborate with product managers, risk analysts, engineering leads, data leads, and senior ML professionals to define strategic roadmaps, resolve blockers, and make informed decisions.
Establish robust practices for model development, deployment, monitoring, governance, documentation, and ownership throughout the full model lifecycle.
Maintain high standards for machine learning quality in fraud detection, emphasizing performance, interpretability, reproducibility, monitoring, and secure production operations.
Ensure machine learning systems are sustainably owned, actively maintained, and iteratively enhanced rather than treated as temporary projects.
Foster a team environment rooted in mutual feedback, continuous learning, and effective collaboration with cross-functional partners.
Support the broader ML and data community through hiring, refining workflows, and sharing best practices that improve velocity and safety across teams.

Annual £1,000 allowance for educational materials, training, and professional conferences.
Home office setup support, including provision of a company MacBook and additional resources for fully remote employees.

£113,200 - £153,200 + Incentive Awards tied to performance

Hybrid — London

Salary range of £113,200 to £153,200, plus performance-based incentive awards.
Support available for relocation to the UK.
Visa sponsorship provided for eligible candidates.
Position can be based in the London office or worked remotely within the UK, with occasional in-person meetings in London.
Flexible working hours with trust to manage time according to personal and team needs.
Annual £1,000 learning budget for books, courses, and conferences.
Home work setup support, including a company-issued MacBook and additional remote work resources.
Additional benefits available—see full list for details.

Initial conversation with a recruiter.
Interview with ML and data leadership focusing on people management, technical judgment, and delivery experience.
Loop interviews covering leadership of teams and stakeholders, technical ML expertise, and alignment with company values.
Process duration is approximately 3-4 weeks, with scheduling flexibility to accommodate candidates.

Flexible working hours with emphasis on trust and team alignment.
Role location includes London office or distributed within the UK, with periodic London meetings.
Visa sponsorship is available for qualified applicants.
Relocation assistance offered for those moving to the UK.

Available

Monzo is hiring a Machine Learning Manager, Fincrime