Fraud Strategy & Analytics Lead (Banking)

• Work Authorization: Open to F1 OPT, STEM, TN, etc.
• Interview Process: 3 rounds via MS Teams
• Relocation Assistance for non-local candidates.

Required Skills:

• Proven experience in fraud strategy or fraud data science, including building strategies or models in the banking industry.
• Demonstrated leadership in retail banking or consumer card fraud initiatives, driving client priorities effectively.
• Strong understanding of statistical methods: classical statistics, probability, econometrics, and time-series analysis.
• Advanced proficiency in SQL and Python.
• Undergraduate degree or equivalent experience; graduate degree preferred.
• Excellent verbal and written communication skills, especially in client-facing and cross-functional settings.

Preferred Skills:

• Experience with ThreatMetrix rule creation and management.
• Familiarity with machine learning techniques.
• Experience in fraud loss appetite setting and performance planning.
• Background in consulting or advisory roles focused on fraud strategy.