Job Description
Do you want to lead AI-powered investigations that reshape how financial institutions fight fraud and financial crime?
Have you managed complex forensic or risk programmes that blend data, analytics, and compliance?
Ready to help global clients automate investigations and strengthen their integrity through applied AI?
A global consultancy is hiring a Manager – Forensic Data Analytics to join its growing London team. The group sits within its Forensics & Integrity division and delivers advanced analytics solutions for financial crime, fraud, and regulatory compliance. You’ll help shape how AI and data engineering are deployed in forensic investigations across major financial institutions.
This role blends technical leadership, client delivery, and commercial growth — ideal for someone who understands data, risk, and regulation but wants to lead transformation rather than only manage processes.
Key Responsibilities
- Lead large AI-driven forensic and financial-crime engagements across financial services
- Manage delivery teams (10+) and ensure quality, timeliness, and commercial success
- Build and maintain relationships with senior stakeholders (C-suite, risk, compliance, legal)
- Drive practice innovation through GenAI and data-driven automation solutions
- Support go-to-market activity and contribute to business development
Requirements
- 10+ years’ experience across forensics, fraud, risk, or compliance analytics
- Demonstrable consulting or cross-functional delivery experience in FS or fintech
- Proven leadership of technical or investigative teams
- Familiarity with ML, LLMs, or automation in regulatory or fraud contexts
- Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL)
Key Details
- Location: London (2–3 days/week in office)
- Sponsorship: Available
- Salary: £90k–£105k + benefits
- Tech stack: Azure, Python, GenAI/LLMs, data engineering frameworks
Interested? Please apply below.