Assurance - Financial Services - Forensic Data Analytics - Senior Manager

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and cutting-end technologies to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

With high-profile corporate fraud and regulatory non-compliance cases at the forefront of the news, it is more important than ever for businesses to maintain the authoritative knowledge it takes to investigate, detect, prevent and monitor for risks. Additionally, with the growing volumes of disparate data, advancement in AI technologies and increasing global regulatory scrutiny coupled with changing regulations, it is critical for businesses to accelerate intelligent decision making, continue to adopt AI technologies and build more efficient finance, legal and compliance functions.

EY's Forensic Data Analytics (FDA) team is a growing global, AI and data-focused group within the Forensic & Integrity Services department. We work across all lines of businesses in Financial Services (FS) industry with a specific focus on Financial Crime, Fraud, Legal and Regulatory domain. This role will combine extensive FS industrial experience, analytical skills and deep understanding Data and AI capabilities to help our clients in dealing with their complex issues.

Whether it is designing, implementing or ideating technology solutions we need the very best people to join us and strengthen our team to achieve our ambitious targets.

We will expect you to have experience across all four areas of our leadership expectation: clients, business, team and personal. This will enable you to lead our teams, manage our clients and complex assignments, grow our business in a commercial way which adheres to our values, and inspire others through your own behaviours. We're interested in passionate leaders, with the intellectual curiosity to actively pursue new knowledge in the rapidly changing world of data and AI.

Naturally you'll need a strong background in the various data engineering and data science and AI tooling to assist in achieving our goals.

Client Management and Business Development:

• Develop/maintain productive relationships with client management including C Suite executives.
• Develop new business development initiatives, go to market campaigns, sales sprints, leading end-to-end bid processes, engagement delivery and knowledge management with a proven experience of achieving sales targets greater than £1m per year.
• Stay informed of the client's industry, and recognise key performance drivers, business trends, and emerging technical/industry developments.
• Strong problem solving skills to support clients on a comprehensive range of issues in relation to financial crime, fraud, regulatory and compliance, litigation and other adverse events in the Financial Services industry across Banking and Capital Markets, Insurance and Wealth and Asset Management sectors.

Engagement Delivery and People Management:

• Lead complex Data and AI-led assignments, review the work prepared by the engagement teams to ensure that it meets EY's quality standards and the client's expectations.
• Monitor engagement progress to manage and mitigate risks and resolving any issues that may arise during the project. Ensure successful completion of project objectives within timescales and budget.
• Direct management of senior client stakeholders, investigators, internal and external auditors, lawyers and regulatory authorities during sensitive and sometimes adversarial situations.
• Lead the development of training, recruiting, resourcing projects, and/or other practice-wide needs to create a positive work and learning culture.
• Define best practices, processes, and standards to ensure realisation of measurable improvement in value, effectiveness, efficiency and quality of services delivered to clients.

Extensive deep expertise in:

• Financial Services industry, focused on financial crime, forensics, fraud, legal and regulatory compliance
• End to end data engineering and data science life cycle including data discovery, ETL, data analysis/machine learning, data visualisation/reporting and latest Gen AI and Agentic AI technologies
• Leading large and complex data and AI-driven programmes and innovating reusable tech solutions through problem solving
• Developing and mentoring data engineering and data science teams

• Previous Big 4 and large consulting firms experience is an advantage.

We're not just looking for strong technical skills - we're interested in people that can nurture relationships, both internal and external, and are committed to intimately understanding our clients' needs. If you're looking to become part of elite group of data engineers and data scientists where you'll…