Senior Fraud Analyst: Card Risk & Prevention Leader

Q2; Austin (TX); On-site; USD 110,000 - 140,000; Full time

Job summary

Q2 is seeking a Senior Fraud Analyst. This role focuses on identifying, investigating, and preventing fraudulent activities across our platforms, working with fraud, risk, and product teams to educate internal and external stakeholders on best practices in fraud management.

The ideal candidate will monitor transactions, review data, and develop rules to mitigate losses, using data analysis to detect patterns and prevent fraud for stakeholders.

Qualifications

• Minimum 8 years of card product management, card processing, or card risk management, with a relevant degree or equivalent experience.
• Experience with card risk management systems and Visa tools is highly preferred.
• Experience in financial services, card payments, or fintech is preferred.
• Strong teamwork, organization, and problem-solving skills.
• Excellent verbal, written, and interpersonal communication.

Responsibilities

• Provide subject matter expertise for card-based risk and fraud prevention.
• Develop and tune fraud rules with card payment partners and stakeholders.
• Educate stakeholders on fraud management best practices and tools.
• Evaluate tools and processes to enhance detection, monitoring, and reporting.
• Reconcile key risk metrics and summarize performance for Executives.
• Drive reductions in fraud losses through model management and analytics.
• Document fraud product strategies for internal and external stakeholders.
• Build strong relationships with business partners and stakeholders.
• Research industry trends and identify new best practices.

Skills

Card risk management

Card processing

Data analysis

Communication skills

Team collaboration

Education

Bachelor's degree

Advanced degree

Tools

Visa DPS risk tools

Job description

Q2 is seeking a Senior Fraud Analyst. This role focuses on identifying, investigating, and preventing fraudulent activities across our platforms, working with fraud, risk, and product teams to educate internal and external stakeholders on best practices in fraud management.

The ideal candidate will monitor transactions, review data, and develop rules to mitigate losses, using data analysis to detect patterns and prevent fraud for stakeholders.