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Fraud Analytics Manager - EY wavespace - AI & Data CoE

at Ernst & Young

Back to all Data Science / AI / ML jobs
Ernst & Young logo
Industry not specified

Fraud Analytics Manager - EY wavespace - AI & Data CoE

at Ernst & Young

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Madrid
Country
Spain

Lead AI/ML applied to Financial Crime domain as Subject Matter Expert in EY wavespace Madrid - AI & Data CoE. Manage a multi-disciplinary team delivering advanced analytics for fraud and AML (KYC, TM, SAR), and support proposals and client engagements. Drive end-to-end analytics projects with Tier 1 banks, providing consulting expertise on statistical models and ML, and ensure alignment with client goals. Stay current on regulatory trends and best practices in financial crime compliance.

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. We are looking for a highly talented manager to explore and lead AI for Fin Crime domain. 

 

 

Key Responsibilities:
•    Be the Subject Matter Expert for applied AI/ML for Financial Crime domain. 
•    Lead a team of analysts, data scientists and engineers delivering advanced analytics solutions in fraud and AML, covering areas such as Know Your Customer (KYC), transaction monitoring (TM) and Suspicious Activity Reporting (SAR).
•    Support proposal development and client engagement alongside senior team members.
•    Manage end-to-end projects and client relationships, driving business growth while managing internal and external stakeholders.
•    Steer analytics projects from inception to delivery, ensuring alignment with client goals and project requirements with Tier 1 banks.
•    Provide consulting expertise on advanced statistical models and machine learning solutions in the fraud and banking industry, acting as a trusted reference to clients.
•    Stay up-to-date on regulatory trends, technologies, and best practices in financial crime compliance.  


Requirements:
•    Bachelor's or master’s degree in economics, Finance, Business, Analytics or any related discipline. 
•    Minimum 7 years of relevant experience in risk analysis, fraud detection, AML and data analytics.
•    Proven track record of leading multi-disciplinary teams successfully. 
•    Experience in consulting firms or financial services organizations.
•    Excellent communication and stakeholder management skills.
•    Proficiency in the areas of Machine Learning models and statistical modelling.
•    Interest and exposure to Generative AI (GenAI) and Agentic AI is highly valuable.

#LI-HYBRID

Fraud Analytics Manager - EY wavespace - AI & Data CoE

at Ernst & Young

Back to all Data Science / AI / ML jobs
Ernst & Young logo
Industry not specified

Fraud Analytics Manager - EY wavespace - AI & Data CoE

at Ernst & Young

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted a day ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Madrid
Country
Spain

Lead AI/ML applied to Financial Crime domain as Subject Matter Expert in EY wavespace Madrid - AI & Data CoE. Manage a multi-disciplinary team delivering advanced analytics for fraud and AML (KYC, TM, SAR), and support proposals and client engagements. Drive end-to-end analytics projects with Tier 1 banks, providing consulting expertise on statistical models and ML, and ensure alignment with client goals. Stay current on regulatory trends and best practices in financial crime compliance.

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. We are looking for a highly talented manager to explore and lead AI for Fin Crime domain. 

 

 

Key Responsibilities:
•    Be the Subject Matter Expert for applied AI/ML for Financial Crime domain. 
•    Lead a team of analysts, data scientists and engineers delivering advanced analytics solutions in fraud and AML, covering areas such as Know Your Customer (KYC), transaction monitoring (TM) and Suspicious Activity Reporting (SAR).
•    Support proposal development and client engagement alongside senior team members.
•    Manage end-to-end projects and client relationships, driving business growth while managing internal and external stakeholders.
•    Steer analytics projects from inception to delivery, ensuring alignment with client goals and project requirements with Tier 1 banks.
•    Provide consulting expertise on advanced statistical models and machine learning solutions in the fraud and banking industry, acting as a trusted reference to clients.
•    Stay up-to-date on regulatory trends, technologies, and best practices in financial crime compliance.  


Requirements:
•    Bachelor's or master’s degree in economics, Finance, Business, Analytics or any related discipline. 
•    Minimum 7 years of relevant experience in risk analysis, fraud detection, AML and data analytics.
•    Proven track record of leading multi-disciplinary teams successfully. 
•    Experience in consulting firms or financial services organizations.
•    Excellent communication and stakeholder management skills.
•    Proficiency in the areas of Machine Learning models and statistical modelling.
•    Interest and exposure to Generative AI (GenAI) and Agentic AI is highly valuable.

#LI-HYBRID

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