AML Manager – Transaction Monitoring Operations
Capital One
Senior AML Product Manager
DataVisor
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
CloudGo
About the role
- DataVisor is the world’s leading AI-powered Fraud and Risk Platform, providing unparalleled detection coverage for fast-evolving fraud and money laundering activities.
- Our open SaaS platform consolidates and enriches data at scale, enabling organizations to respond to new threats in real time with patented unsupervised machine learning, advanced device intelligence, a powerful decision engine, and comprehensive investigation tools.
- DataVisor’s solution delivers an immediate and guaranteed performance lift from day one.
- The platform supports multiple use cases across different business units, significantly reducing total cost of ownership compared to legacy solutions.
- Recognized as an industry leader, DataVisor proudly counts many Fortune 500 companies among its global customer base.
- Position Overview: We are seeking an experienced AML Product Manager to guide the evolution of our Anti-Money Laundering products, shape our AML roadmap, collaborate with diverse teams, and champion AI-driven solutions to revolutionize traditional AML detection.
- Responsibilities: Define and Execute AML Roadmap; Market Research and Product Strategy; Global AML Reporting; Innovate with AI; Cross-Functional Collaboration; Product Launches and Go-to-Market; Customer Evangelism.
Requirements
- AML & BSA Expertise: 10+ years of experience in AML and BSA, with a deep understanding of industry standards and regulations.
- Product Management Experience: 5+ years in product management, specifically focused on AML software products.
- Global AML Exposure: International AML experience is highly desirable.
- Agile Methodologies: Familiarity with agile software development frameworks (e.g., Scrum) and real-world experience in fast-paced environments.
- Machine Learning & Big Data Knowledge: Practical experience with machine learning, big data, cloud services, and SaaS-based systems.
- Startup Mindset: Comfortable thriving in a dynamic, fast-paced startup setting.
