VP, Fraud Rules Data Science & Testing Platform Lead

PowerToFly

Town/Village of Harrison (NY)

On-site

USD 115,000 - 190,000

Full time

14 days+
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Job summary

Morgan Stanley is seeking a Vice President for the External Fraud Risk Team to oversee fraud rule inventory, evaluation, and continuous monitoring. The role focuses on balancing fraud risk with client friction, and acts as product owner for a platform testing fraud rules across evolving crypto and digital asset offerings.

The candidate will lead analytics, data integration, and SDLC governance, with strong emphasis on QA testing and cross-functional collaboration within a highly matrixed

Qualifications

  • 5-10 years of relevant experience in fraud risk or data science.
  • Expertise in fraud rule implementations that balance risk with business enablement.
  • Strong ability to design metrics and track rule performance.

Responsibilities

  • Design and maintain an automated rule inventory for fraud rules.
  • Analyze data sources and build models to trade off risk and client friction.
  • Lead the testing platform for fraud rules and ensure governance.
  • Project manage implementation of the testing platform within time and budget.
  • Develop monitoring processes to identify rule gaps and remediation actions.
  • Create test cases and synthetic data to reflect evolving fraud scenarios.
  • Implement metrics for platform and rule performance tracking.

Skills

Fraud rule expertise
Statistics
Data interpretation
Communication skills
Project management
Critical thinking
Risk assessment

Education

Degree in Computer Science / Software Engineering

Tools

Python
SQL
Dataiku
Jira
SharePoint

Job description

Morgan Stanley is seeking a Vice President for the External Fraud Risk Team to oversee fraud rule inventory, evaluation, and continuous monitoring. The role focuses on balancing fraud risk with client friction, and acts as product owner for a platform testing fraud rules across evolving crypto and digital asset offerings.

The candidate will lead analytics, data integration, and SDLC governance, with strong emphasis on QA testing and cross-functional collaboration within a highly matrixed

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