Data Science Manager, Financial Crime (Remote)

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

Benefits offered by this job

Relocation to the UK

Visa sponsorship

UK distributed working (London visits)

Flexible working hours

Learning budget £1,000/year

Job summary

Monzo is seeking a Data Science Manager for the Financial Crime Data Team in the UK. The role is based in London or remote within the UK, with a strong emphasis on leading a data science group to detect and mitigate financial crime, and to advance the company’s data-driven decision making.

You will partner with Product, Risk and Engineering, guide the data strategy, and mentor a team of Data Scientists and Data Analysts.

Qualifications

• 4+ years as Data Science Manager, including 2+ years leading a data team larger than 4 people.
• Experience with Python and SQL.
• Strong data leadership and stakeholder management.
• Experience in financial crime, fraud detection, or related areas is a plus.

Responsibilities

• Lead a cross‑functional data science team in a fast‑growing banking product.
• Partner with Product, Risk and Engineering to drive data strategy.
• Deliver data‑driven insights to inform product decisions and risk mitigation.
• Foster Looker-based self‑serve analytics across the business.

Skills

Data science leadership

Python

SQL

Stakeholder management

Team management (4+)

Education

Bachelor's degree in a relevant field

Tools

Looker

Business Intelligence tools

ML tooling

Job description

Monzo is seeking a Data Science Manager for the Financial Crime Data Team in the UK. The role is based in London or remote within the UK, with a strong emphasis on leading a data science group to detect and mitigate financial crime, and to advance the company’s data-driven decision making.

You will partner with Product, Risk and Engineering, guide the data strategy, and mentor a team of Data Scientists and Data Analysts.