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Senior Forensics analytics Manager

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Harnham
Part Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    Data Security, Data Science Manager
Salary/Wage Range or Industry Benchmark: 90000 - 105000 GBP Yearly GBP 90000.00 105000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Senior Forensics Analytics Manager

Salary: £90,000-£105,000

Location + work pattern:
London (2 days per week in the office)

THE COMPANY

This organisation is a globally recognised consulting firm operating across financial services and other regulated industries. Their specialist forensics function focuses on helping clients investigate and mitigate financial, legal, and regulatory risks using advanced analytics and emerging technologies. The team is investing heavily in AI and data capabilities to support complex, high-impact client engagements.

THE ROLE

This is a senior leadership position combining hands‑on project delivery with team management and business development responsibilities. You will lead complex data-driven forensic investigations whilst working closely with clients and contributing to the growth of the practice.

Specifically, you can expect to be involved in:

  • Leading data and AI-driven forensic projects, including data ingestion, analysis and modelling
  • Managing and mentoring a team of data professionals across multiple engagements
  • Working directly with clients to deliver insights and communicate findings clearly
  • Supporting business development activities, including developing new client relationships
  • Delivering projects focused on regulatory investigations, fraud, and financial risk
YOUR SKILLS AND EXPERIENCE
  • Strong experience in data analytics and AI within a regulated environment (e.g. financial services, lending, or fraud)
  • Proven ability to lead teams and manage large-scale data-focused projects
  • Experience engaging with clients and presenting technical outputs to non-technical stakeholders
  • Commercial awareness with experience supporting or driving business development activities
  • Technical capability across SQL, Python, and cloud platforms (e.g. Azure, AWS or GCP)
  • Familiarity with data engineering tools and platforms such as Databricks
THE BENEFITS
  • Competitive salary and benefits package
  • Opportunity to work on high-profile, complex engagements
  • Access to cutting-edge data and AI technologies
  • Strong career development and leadership opportunities
  • Inclusive and collaborative working environment
THE PROCESS
  • Initial interview
  • Technical or competency-based interview
  • Final interview
  • Offer!
HOW TO APPLY

Please register your interest via the apply link on this page.

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Position Requirements
10+ Years work experience
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