Fraud Rules Data Science and Testing Specialist - Vice President

Key Responsibilities

• Designing and building an automated rule inventory that allows WM External Fraud Risk to quickly and accurately answer questions about fraud rules
• Identifying data sources and building analytical models to evaluate the trade-offs between fraud rule/control effectiveness and client friction
• Performing gap analyses of fraud rules and ensuring rule enhancements and optimizations continue to align with WM’s initiatives to roll out new products and services
• Serving as the primary business owner of WM External Fraud Risk’s fraud rules testing platform, accountable for business requirements, platform governance, and ongoing enhancements to support effective fraud rule testing
• Project managing the implementation of WM External Fraud Risk’s fraud rules testing platform, ensuring the initial product and continued enhancements are delivered on time and within budget
• Designing and executing a process for fraud rules continuous monitoring; use WM External Fraud Risk’s fraud rules testing platform as the vehicle to identify, confirm, and remediate fraud rule gaps
• Building and tuning test cases and synthetic datasets as the fraud landscape and client behaviors evolve to ensure rules are continuing to function as intended
• Implementing metrics that allow senior management to track the performance of WM External Fraud Risk’s fraud rules testing platform as well as fraud rule performance, efficacy, and client friction

Qualifications

• 5-10 years of relevant experience
• Expertise in fraud rule implementations that balance fraud risk with business enablement and client friction
• Extensive background in statistics and/or data science
• Proven track record of understanding and organizing large amounts of data to calculate performance statistics; ability to interpret results and document conclusions for both technical and non-technical audiences
• Experience performing gap analyses of fraud rules and documenting results backed by data that hold up to scrutiny
• Proven track record of architecting technology platforms that require complex system and data integrations
• Strong understanding of SDLC with extensive experience in designing and performing software QA testing
• Ability to build analytics and automations using tools like Generative AI, Python, SQL, and Dataiku
• Project management experience in a highly matrixed organization with multiple stakeholders
• Exceptional critical thinking, problem-solving, and research skills
• Comfort challenging and escalating risks and decisions
• Excellent written and verbal communication skills, with the ability to communicate at all levels within the organization
• Independent management and execution of multiple, simultaneous workstreams and strong attention to detail