Remote Data Science Manager, Financial Crime

Coinscapture; Greater London; Hybrid; GBP 100,000 - 130,000; Full time

Benefits offered by this job

Relocation to UK

Visa sponsorship

Flexible working hours

Learning budget £1,000

Incentive awards

Job summary

Monzo is seeking a Data Science Manager for Financial Crime to lead a cross-functional team, shaping data strategy and detection capabilities. You’ll collaborate with product, risk and engineering to drive impactful analytics, advancing the fight against financial crime.

The role supports remote UK work or in London, with visa sponsorship and relocation assistance. The ideal candidate has 4+ years as a data science manager, strong leadership, and hands-on Python/SQL, with experience in financial

Qualifications

• 4+ years as Data Science Manager, with 2+ years leading a team of 4+ people.
• Strong strategic data leadership with experience engaging executive stakeholders.
• Experience with data science tools and languages including Python and SQL.
• Experience in financial crime, fraud detection, or related fields.
• Experience delivering data-driven product insights in an agile environment.

Responsibilities

• Lead a cross-functional data team to detect and fight financial crime.
• Hire, coach and retain data scientists and analysts.
• Drive data-led product decisions and strategic roadmap.
• Collaborate with risk, product and engineering to ensure data quality.
• Provide real-time analytics and self-serve insights via Looker.

Skills

Data leadership

Executive stakeholder mgmt

Python

SQL

Machine learning

Financial crime experience

Tools

Looker

Job description

Monzo is seeking a Data Science Manager for Financial Crime to lead a cross-functional team, shaping data strategy and detection capabilities. You’ll collaborate with product, risk and engineering to drive impactful analytics, advancing the fight against financial crime.

The role supports remote UK work or in London, with visa sponsorship and relocation assistance. The ideal candidate has 4+ years as a data science manager, strong leadership, and hands-on Python/SQL, with experience in financial