Fraud Risk Analytics Lead - Strategy & Detection

Navan; Dallas (TX); Hybrid; USD 130,000 - 170,000; Full time

Job summary

A leading travel and expense management company is seeking an experienced fraud risk management expert to enhance its fraud detection and prevention capabilities. Candidates must have over 3 years of relevant experience and a Bachelor's degree in statistics, business, or data sciences. This role involves analyzing fraud patterns and building automated strategies, requiring strong proficiency in data analytics tools like Snowflake and Python. Candidates should be prepared to work on-site in New York, San Francisco, or Palo Alto for three days a week.

Qualifications

• 3+ years of experience in fraud risk management in credit cards and payments industry.
• Expertise in building automated fraud detection and prevention strategies that scale.
• Strong command of data analytics methods and relevant software.

Responsibilities

• Detect risk and prevent fraud loss across all payment channels.
• Build and lead portfolio fraud analytics with actionable data insights.
• Drive analysis for fraud rule discovery activities.

Skills

Fraud risk management

Data analytics

Fraud detection strategies

SQL

Cross-functional collaboration

Education

Bachelor's degree in statistics, business, data sciences or equivalent

Tools

Snowflake

Python

Job description

A leading travel and expense management company is seeking an experienced fraud risk management expert to enhance its fraud detection and prevention capabilities. Candidates must have over 3 years of relevant experience and a Bachelor's degree in statistics, business, or data sciences. This role involves analyzing fraud patterns and building automated strategies, requiring strong proficiency in data analytics tools like Snowflake and Python. Candidates should be prepared to work on-site in New York, San Francisco, or Palo Alto for three days a week.