Fraud Rules Data Science and Testing Specialist - Vice President

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. Role Description 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, banking, and lending products. Key responsibilities include: Designing and building an automated rule inventory that allows WM External Fraud Risk to quickly and accurately answer questions about fraud rules Creating and tuning statistical models that balance fraud detection with client friction and operational capacity constraints 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 Submitting data requirements to external teams to continually improve fraud detection capabilities 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 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 industry experience in statistics and/or data science Degree (or equivalent experience) in Statistics, Applied Mathematics, Data Science, and/or Computer Science Expertise in fraud rule implementations that balance fraud risk with business enablement and client friction Experience performing statistical analyses of transaction events and making data-driven enhancements to fraud rules 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 build analytics and automations using tools like Generative AI, Python, SQL, and Dataiku Ability to design business-facing metrics that drive control enhancement proposals to senior management 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 on multiple, simultaneous workstreams and exhibit strong attention to detail   Preferred Qualifications Strong understanding of SDLC with experience in designing and performing software QA testing Track record of architecting technology platforms that require complex system and data integrations Project management experience in a highly matrixed organization with multiple stakeholders Experience with incident response and root cause analysis Knowledge of the financial services industry; preferably in wealth management, risk management, or technology  WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Expected base pay rates for the role will be between $115,000 and $190,000 per year at the commencement of employment. However, base pay if hired will be determi