Fraud Rules Data Science and Testing Specialist - Vice President

Job Description

The Wealth Management (WM) Chief Data Office (CDO) sits within the WM Risk organization and strives to find the right balance between risk management and business enablement. WM CDO’s mission is to: prevent unauthorized access to or misuse of client sensitive data and assets; abide by relevant privacy laws and regulations; effectively retain, retrieve, and protect information and records at the Firm;

and mitigate risks caused by inaccurate, untimely, or incomplete WM data. The External Fraud Risk Team within WM CDO works to define appropriate fraud risk thresholds for WM and govern controls that keep net external fraud losses within tolerance while achieving business objectives.

The External Fraud Risk Team seeks a Vice President to support the inventory, review, and continuous monitoring of WM’s fraud rules. This individual will serve as a senior subject matter expert on fraud rules, use performance data to continually optimize rules to balance fraud risk with client friction, and build an automated, data‑driven rule inventory that tracks rule efficacy, coverage, effectiveness, and client friction.

Additionally, they will be the product owner of a new technology platform that continually tests fraud rules for implementation issues. They will ensure this new platform and WM External Fraud Risk’s test cases stay ahead of the ever‑evolving fraud landscape and support the launch of new crypto, digital asset, and banking and lending products.

• Design and build an automated rule inventory that allows WM External Fraud Risk to quickly and accurately answer questions about fraud rules.
• Identify data sources and build analytical models to evaluate the trade‑offs between fraud rule/control effectiveness and client friction.
• Perform gap analyses of fraud rules and ensure rule enhancements and optimizations align with WM’s initiatives to roll out new products and services.
• Serve as the primary business owner of WM External Fraud Risk’s fraud rules testing platform, accountable for business requirements, platform governance, and ongoing enhancements.
• Project‑manage the implementation of the fraud rules testing platform, ensuring the product and its enhancements are delivered on time and within budget.
• Design and execute a process for continuous monitoring of fraud rules; use the testing platform to identify, confirm, and remediate fraud rule gaps.
• Build and tune test cases and synthetic datasets as the fraud landscape and client behaviors evolve to ensure rules continue to function as intended.
• Implement metrics that enable senior management to track the performance of the fraud rules testing platform as well as rule performance, efficacy, and client friction.

• 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.
• Ability to design business‑facing metrics that drive control enhancement proposals to senior management.
• 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.
• Ability to independently manage and execute multiple simultaneous work streams with strong attention to detail.

• Degre…