Financial Crime and Fraud Technology / Transformation – Senior Manager / Director

Job Description

Role Overview

*Client Engagement & Business Development*

• Develop and maintain senior client relationships, including engagement with C-suite stakeholders across Financial Services.
• Lead and contribute to business development activities, including go-to-market initiatives, sales campaigns, and proposal development.
• Lead end-to-end bid processes, from opportunity qualification through to deal closure.
• Identify emerging client needs, market trends, and regulatory developments in financial crime and fraud.
• Provide strategic advisory support to clients on financial crime transformation, including technology, data, and operating model enhancements.
• *Engagement Delivery*
• Lead the delivery of complex, technology-enabled transformation programmes, particularly those leveraging data, analytics, and AI.
• Oversee engagement quality, ensuring outputs meet KPMG standards and client expectations.
• Manage delivery risks, timelines, and budgets, ensuring successful and timely completion of projects.
• Provide guidance on solution design, architecture, and implementation approaches across financial crime use cases.
• Drive innovation and development of reusable assets and solutions.

*People Leadership & Practice Development*

• Lead, coach, and develop high-performing, multidisciplinary teams across data engineering, data science, and domain specialists.
• Support recruitment, resourcing, and capability development initiatives within the practice.
• Foster a collaborative, inclusive, and high-performance culture, aligned with KPMG values.
• Define and embed best practices, methodologies, and delivery standards to enhance quality and consistency.
• Contribute to the broader growth and strategic development of the Financial Crime and Fraud solution.

*Experience & Technical Capabilities*

• Extensive experience within Financial Services, with a focus on Financial Crime, Fraud, or Forensics.
• 10–15+ years of experience across:

+ AML And KYC

• + Sanctions
• + Transaction monitoring
• + Fraud detection and prevention
• + Financial crime technology and transformation
• Proven experience leading large-scale data- and AI-driven programmes within Financial Services.
• Strong understanding of end-to-end data and analytics lifecycle
• Demonstrated ability to design and deliver technology-enabled solutions, including development of reusable assets and accelerators.
• Experience in building, mentoring, and scaling data and analytics teams.

Preferred Experience

• Prior experience within Big 4 or leading consulting firms.
• Exposure to RegTech / FCC technology platforms.
• Experience engaging with regulators or regulatory-driven transformation programmes.