Data Science Manager, Financial Crime

Role overview

A Data Science Manager is needed to lead a team focused on financial crime within a digital banking environment. The role combines hands-on data leadership with people management, working alongside product, risk, and engineering peers to strengthen detection, prevention, and mitigation of financial crime. The position offers the chance to shape data strategy for a key product area and develop a team of data scientists and analysts in a fast-scaling, data-driven organization.

Responsibilities

• Lead and grow a team of data scientists and analysts working alongside analytics engineers to combat financial crime.
• Champion the use of data across product development, bringing ideas to life through rigorous analytical approaches.
• Generate insights that inform and shift the direction of financial crime strategy, including emerging threats and regulatory requirements.
• Bring data leadership and rigor to product development, structuring complex projects and translating strategy into execution.
• Liaise with risk, product, and engineering managers to ensure the right data is captured to produce relevant business insights.
• Hire, develop, and retain top data talent while fostering a culture of data-driven decision making.

Requirements

• At least four years of experience as a Data Science Manager, with at least two of those years managing a data team of more than four people.
• Strong strategic data leadership skills with a track record of driving decisions at executive or C-level.
• Experience managing stakeholders across multiple levels of seniority and disciplines.
• Familiarity with a variety of data science tools spanning business intelligence, experimentation, causal inference, and machine learning.
• Strong coding skills in Python and SQL, with the judgment to pick the right tool for each problem and help others do the same.
• Excitement about working autonomously to shape the future of a fast-growing business.

Nice to have

• Experience in financial crime, fraud detection, or adjacent areas such as trust and safety, integrity, or security.

Benefits and work setup

• Salary range of £100,000 to £130,000 plus incentive awards tied to performance, plus a benefits package.
• Based in London or distributed working within the UK, with ad hoc meetings in London and flexible working hours.
• Visa sponsorship and relocation support available for the right candidate.
• Annual learning budget of £1,000 for books, training courses, and conferences.