Model and Data Manager Fraud Department Vice President

We are seeking a Fraud Department Model and Data Manager Vice President.

In the Technology division we leverage innovation to build the connections and capabilities that power our Firm enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Data & Analytics Engineering position at the Vice President level which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines implementing data models and optimizing data processes for improved data accuracy and accessibility including applying machine learning and AI-based techniques.

Since 1935 Morgan Stanley is known as a global leader in financial services always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Position Overview

The Model and Data Manager is a key leadership role responsible for the effective onboarding and monitoring of fraud detection and prevention models and data sources. This position will serve as the primary liaison between the Fraud Department and the Model Risk Management (MRM) function ensuring all fraud models are compliant robust and aligned with organizational risk appetite. The VP will drive continuous improvement in model governance and operational excellence. This position reports directly to the Head of Fraud Analytics and Data Science.

What youll do in the role:

• Data Onboarding: Working with Fraud Leadership and technology partners identify and onboard new and ongoing data sources as required to satisfy Fraud data needs to support ongoing Fraud efforts and enable Fraud coverage of new products and capability launches for the Firm.

• Model Onboarding: Oversee the end-to-end onboarding process for new internally developed and vendor supplied models updated fraud models including coordination with data science technology and business teams. Ensure all models meet regulatory and internal standards prior to deployment.

• Model Monitoring: Lead the ongoing performance monitoring of all fraud models including periodic validation back-testing and performance reporting. Identify model drift degradation or emerging risks and coordinate timely remediation.

• Collaboration with Model Risk Management: Serve as the primary point of contact with the Model Risk Management function. Facilitate model validation inventory management control testing and documentation updates to meet organizational and regulatory requirements. Ensure documentation covers assumptions limitations risk controls data lineage and governance touchpoints.

• Governance and Compliance: Govern the end-to-end model life cycle including development validation implementation change management monitoring and decommissioning ensuring robust controls at each stage. Ensure adherence to all internal model governance policies and external regulatory guidelines. Prepare and present model performance and risk assessments to senior management and governance committees.

• Stakeholder Engagement: Work cross-functionally with fraud operations analytics IT compliance and audit teams to ensure model integrity transparency and accountability.

• Team Leadership: Lead mentor and develop a team of fraud model analysts and specialists. Foster a culture of innovation collaboration and continuous learning.

• Innovation: Assess and guide the adoption of innovative modeling techniques (e.g. AI/ML) within the governance framework. Stay abreast of emerging risks new fraud typologies evolving regulatory expectations and best practices in model risk for financial crimes and fraud detection.

What youll bring to the role:

• Bachelors or Masters degree in quantitative field (e.g. Statistics Mathematics Data Science Engineering or related discipline).

• 10 years of experience in fraud risk management model risk management or related analytical functions within the financial services industry.

• Strong expertise in model development validation and governance processes.

• Demonstrated experience leading cross-functional teams and managing complex projects.

• Excellent communication stakeholder management and presentation skills.

• In-depth knowledge of regulatory requirements related to model risk (e.g. SR 11-7 OCC 2011-12) is highly desirable.

Preferred Skills

• Proficiency in data analytics tools and programming languages (e.g. Python R PySpark etc).

• Demonstrated experience with advanced fraud detection technologies such as machine learning and artificial intelligence.

• Ability to manage competing priorities in a fast-paced environment.

What you can expect from Morgan Stanley:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first doing the right thing leading with exceptional ideas committing to diversity and inclusion and giving back - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll 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. Theres also ample opportunity to move about the business for those who show passion and grit in their work.

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 thats differentiated and weve 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 - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll 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. Theres also ample opportunity to move about the business for those who show passion and grit in their work.

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Salary range for the position: $135000 and $190000 per year. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business units incentive compensation plan which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits including Medical Prescription Drug Dental Vision Health Savings Account Dependent Day Care Savings Account Life Insurance Disability and Other Insurance Plans Paid Time Off (including Sick Leave consistent with state and local law Parental Leave and 20 Vacation Days annually) 10 Paid Holidays 401(k) and Short/Long Term Disability in addition to other special perks reserved for our employees. Please visit to learn more about our benefit offerings.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion where individuals are hired developed and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate bringing a variety of backgrounds talents perspectives and experiences.

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