Senior Forensics analytics Manager

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

• 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

• 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

• Initial interview


• Technical or competency-based interview


• Final interview


• Offer!

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