
Posted 7 days ago
Forensic Data Analytics Senior Manager
EY
Requirements
Financial Services industry expertise, Financial crime and forensics knowledge, End to end data engineering lifecycle, Data science and machine learning, Gen AI and Agentic AI technologies, Leading large data and AI programmes, Mentoring data teams
Skills
Data EngineeringData ScienceAI
About the role
Responsibilities
- Lead complex Data and AI-driven assignments within the Financial Services industry, specifically focusing on Financial Crime, Fraud, and Regulatory compliance.
- Develop and maintain productive relationships with C-Suite executives and senior client stakeholders.
- Drive business development initiatives, including leading end-to-end bid processes and achieving annual sales targets.
- Manage engagement delivery by monitoring progress, mitigating risks, and ensuring projects meet quality standards within budget and timescales.
- Direct senior stakeholders, investigators, and regulatory authorities during sensitive or adversarial situations.
- Mentor and develop data engineering and data science teams to foster a positive learning culture.
- Define best practices and standards to improve the effectiveness and quality of services delivered to clients.
Requirements
- Extensive expertise in the Financial Services industry, with a focus on financial crime, forensics, fraud, and regulatory compliance.
- Deep understanding of the end-to-end data engineering and data science lifecycle, including ETL, machine learning, and data visualization.
- Proven experience with Gen AI and Agentic AI technologies.
- Demonstrated ability to lead large, complex, data and AI-driven programs.
- Strong track record of mentoring technical data teams.
- Exceptional problem-solving skills related to litigation, compliance, and adverse events in banking, insurance, or asset management.
Preferred Qualifications
- Previous experience working within a Big 4 or large global consulting firm.
Benefits
- Continuous learning opportunities to develop new mindsets and technical skills.
- Flexible tools and environments to allow for meaningful individual impact.
- Transformative leadership through dedicated coaching and insights.
- A diverse and inclusive culture that empowers employees to use their unique voices.
About the Company
EY's Forensic Data Analytics (FDA) team is a growing global, AI and data-focused group within the Forensic & Integrity Services department. We help clients navigate high-profile corporate fraud and regulatory non-compliance through intelligent decision-making and advanced technology solutions.
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EY · London
