Senior Product Manager - Fraud & AML Solutions||Redmond, WA - [Hybrid/On-site]

Description:

Position: Senior Product Manager - Fraud & AML Solutions
Location: Redmond, WA - [Hybrid/On-site]
Experience: 10 years in banking/financial services with AI product development

Job Summary

We are seeking an experienced Fraud and AML Product Manager to lead the development of next-generation, AI-powered financial crime solutions for global banking institutions. The ideal candidate will combine deep domain expertise in fraud prevention/AML with hands-on experience in bootstrapping AI products and leveraging Agentic AI capabilities. You will own the end-to-end product lifecycle while ensuring seamless integration of cybersecurity controls and AWS cloud services into our solution architecture.

Key Responsibilities

Product Strategy & Vision

• Define and drive the product roadmap for AI-powered Fraud & AML solutions, incorporating Agentic AI, machine learning, and cybersecurity innovations
• Develop business cases and ROI models for new product features and enhancements
• Conduct competitive analysis of Fraud/AML solutions (traditional and AI-based)

AI Product Development

• Lead the design of AI/ML-driven fraud detection models and transaction monitoring systems
• Collaborate with Data Science teams to operationalize Agentic AI capabilities for autonomous fraud investigation workflows
• Define requirements for model training, testing, and continuous improvement cycles

Technical Execution

• Architect solutions leveraging AWS services (e.g., Amazon Fraud Detector, SageMaker, Lambda)
• Ensure compliance with AWS Well-Architected Framework and financial services security standards
• Oversee integration with banking systems (core banking, payment networks, KYC platforms)

Stakeholder Management

• Work closely with banking compliance teams to align solutions with global AML regulations (FATF, FinCEN, etc.)
• Partner with Cybersecurity teams to embed fraud prevention controls (behavioral biometrics, threat intelligence)
• Engage with third-party data providers (identity verification, dark web monitoring)

Required Qualifications

• 10 years in banking/financial services, with at least 5 years in Fraud/AML product roles
• Proven track record of bootstrapping AI/ML products from concept to production
• Hands-on experience with:
  • AWS cloud services (EC2, S3, RDS, Lambda) and AI/ML tools (SageMaker, Bedrock)
  • Fraud/AML technologies (Actimize, Feedzai, Oracle AML)
  • Product lifecycle management in regulated environments
• Strong understanding of:
  • Agentic AI applications in financial crime detection

Nice-to-Have Qualifications

• Experience with AWS Fraud Detector or similar managed fraud prevention services
• Cybersecurity principles in fraud prevention (Zero Trust, IAM)
• Certifications: AWS Certified Solutions Architect, P

Shweta Singh

Sr. Recruiter

Pro Integrate LLC ISO 9001 and ISO 27001 Certified Company

Phone: 1 | Email:

HQ: 347 5th Ave, Suite 1402-344 New York, NY USA 10016

About:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.