DataVisor is hiring a
Fraud Analytics Manager

Summary

As a Fraud Analytics Manager at DataVisor, you will use the company's fraud detection SaaS products to help Fortune 500 clients solve their fraud and risk problems. You will provide technical solutions and consultative services, develop and implement risk strategies, perform risk pattern analysis, and act as a technical liaison between clients and internal teams.

Requirements

• 2+ years of fraud/risk management and analytics experience in banking, fintech, or payment industries, where machine learning models and rules are utilized to prevent scam-based and account takeover-based banking transaction fraud, card payment fraud, etc
• Excellent data analytics skills using tools like SQL, Python, R
• Experience in building dashboards through Tableau or Metabase
• Proven track record performing deep dive analysis on fraud patterns and decision strategies
• Excellent communication and presentation skills
• Strong time management skills and a sense of project ownership

Responsibilities

• Understand customers’ risk use cases, challenges, and define plans to achieve success criteria
• Develop, implement, and evolve risk strategies with clients
• Perform risk pattern analysis, build Executive dashboards, monitor fraud detection performance
• Lead technical discussion for fraud deep dives that prepare for detection modules’ success
• Guide and work with our ML modeling team to monitor and enhance the detection quality by performing UML and/or SML model performance metrics
• Lead the implementation of detection logic and rules to enhance detection quality
• Act as technical liaison between clients and internal teams
• Regularly present customers' key success metrics to internal and external stakeholders. This role may require travel to visit customers to strengthen client relationships, onsite workshops, and quarterly business reviews

Preferred Qualifications

• Prior Banking/FinTech experience is a plus
• Prior fraud consulting experience is a plus

Benefits

Bonus, Health insurance