Fraud Analyst Manager- EY wavespace - AI & Data CoE
at Ernst & Young
Posted 2 days ago
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- Compensation
- Not specified EUR
- City
- Madrid
- Country
- Spain
Currency: € (EUR)
EY wavespace Madrid's AI & Data CoE is seeking a Fraud Analyst Manager to act as the Subject Matter Expert for Financial Crime, driving compliance with AML/CFT regulations and leading data quality initiatives. You will oversee Know Your Customer, transaction monitoring, SARs, regulatory reporting, and AML/MIFID compliance, while managing internal and external stakeholders. The role collaborates with AI & Data teams to enhance processes and lead project planning to ensure timely delivery and effective anti-financial crime controls across the organization.
About Us
At EY wavespace Madrid - AI & Data CoE, we are a diverse, multicultural team at the forefront of technological innovation, working with cutting-edge technologies like Gen AI, data analytics, robotics, etc. Our center is dedicated to exploring the future of AI and Data.
Key Responsibilities:
- Be the Subject Matter Expert for Financial Crime domain.
- Stay up-to-date on regulatory trends, technologies, and best practices in financial crime compliance.
- Lead the management and execution of data quality initiatives focused on data analytics within an international AML/CFT program, covering areas such as Know Your Customer (KYC), transaction monitoring (TM), Suspicious Activity Reporting (SAR), and regulatory reporting.
- Oversee regulatory initiatives across personnel, documentation, AML/CFT compliance, and taxation, while managing internal and external stakeholders.
- Ensure AML and MIFID Compliance.
- Conduct in-depth analysis of transactional operations to identify potential indicators of money laundering.
- Lead project planning and management efforts, ensuring timely delivery and alignment with strategic objectives while managing resources effectively.
- Collaborate with AI & Data teams to define and enhance operational processes aimed at preventing financial crime.
Requirements:
- Bachelor's or master’s degree in economics, Finance, Business, Analytics or any related discipline.
- Minimum 7 years of relevant experience.
- Proven track record of leading multi-disciplinary teams successfully.
- Excellent knowledge in AI/ML
- Experience in consulting firms or financial services organizations.
- Proficiency in the areas of Machine Learning models and Gen AI.
- Excellent communication skills.
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