The Financial Crimes Program Advisory Vice President is a key member of the First Line Financial Crimes Risk Office Team, responsible for maintaining and enhancing the first line of defense financial crimes program. This includes defining risk mitigation strategies, policy development, and technology requirements for Wealth Management & E*TRADE, and supporting the U.S. Banks and Investment Management businesses.

This role requires engagement with various partners to develop, enhance, and redesign financial crimes policies, processes, and procedural requirements. The focus is on risk mitigation, execution enhancement, automation, and control improvements. The VP sets strategic priorities and leads the development and implementation of new program requirements to ensure regulatory compliance and operational effectiveness. This position serves as a trusted advisor to the business, providing solutions to complex and high-impact issues.

Additionally, the role involves collecting and analyzing data to deliver actionable insights that support decision-making and strategic planning. It requires close collaboration with stakeholders to create scalable data science solutions aligned with regulatory requirements and industry best practices.

Responsibilities:
- Support the design and implementation of new processes, requirements, policy changes, and operating models for Wealth Management, E*TRADE, U.S. Banks, and Investment Management.
- Evaluate and recommend enhancements to financial crimes controls, including AML, sanctions, and tax evasion measures.
- Collaborate with stakeholders to develop AI and data science solutions that uncover actionable insights from complex datasets.
- Document and assess end-to-end business processes within the Single Process Inventory (SPI), focusing on data attributes, sources, control mechanisms, and system interfaces.
- Ensure consistency in definitions and process rules across SPIs, where applicable.
- Conduct data integration, profiling, and visualization using tools such as Excel, Dataiku, Python , Tableau, and others to support financial crimes strategy design.
- Research and analyze enterprise datasets to identify key data elements from Wealth Management and U.S. Banks systems to drive process improvements.
- Partner with technology teams to enhance data environments, integrating data tables required for analytical purposes.
- Participate in training and data forums to remain current on analytical tools, developments, and migration plans.
- Collaborate with data analysts, software engineers, and data engineers to create sustainable and scalable data science solutions.
- Visualize and communicate data insights effectively to business stakeholders.
- Serve as a subject matter expert in cross-functional initiatives.
- Monitor service and productivity levels, recommending and implementing continuous improvements.
- Analyze and resolve complex issues by developing structured solutions and engaging senior stakeholders.
- Influence policy, process, and procedural changes autonomously, in coordination with leadership teams, stakeholders, and second-line partners.
- Manage strategic initiatives and tasks supporting the overall financial crimes program.
- Partner with the Business, Operations, Technology, Second Line of Defense, and other stakeholders to design and maintain effective financial crimes controls.
- Lead key initiatives aimed at assessing and mitigating financial crime and operational risk exposure.
- Manage multiple workstreams with competing priorities in a dynamic, fast-paced environment.
- Deliver clear, concise, and proactive communication through professional PowerPoint presentations tailored to various audiences.
- Develop innovative, forward-thinking solutions to enhance controls, increase efficiency, and improve the customer experience.

Required Experience:
- Have 7+ years of relevant experience with BSA/AML Regulations within the financial services industry, or at a financial services regulator (e.g., FINRA, Securities and Exchange Commission, Office of the Comptroller of the Currency, Federal Reserve Bank, etc.).
- Proactive and self-motivated.
- Strong leadership and team management skills.
- Have an undergraduate degree in Business, Finance, or another related field.
- Strong knowledge of Know Your Customer, Customer Identification Program and CDD requirements.
- Strong interpersonal skills and ability to communicate effectively both verbally and in writing.
- Strong leadership qualities with the ability to manage teams and evidence a strong work ethic as well as a high degree of integrity.
- Strong organizational and time management skills
- Familiarity with data reconciliation across applications
- Experience with data application mapping (inflows and outflows)
- Experience with relational databases, file systems, reading & writing code (e.g., SAS, Python , Python , SQL)
- Experience in one or more of the following areas: business intelligence/analytics, data management, data governance, data controls, data quality management, and/or data architecture
- Understanding of data governance, data quality, and data management and data concepts
- Strong Experience in Microsoft Office applications(Microsoft Excel/PowerPoint/Word/Access)
- In-depth knowledge and experience with various machine learning algorithms (supervised and unsupervised) and analytical toolkits

Ability to:
- take initiative, analyze, summarize, and communicate effectively.
- investigate, identify issues, impacts, and trends to propose comprehensive solutions.
- multitask effectively and action matters promptly.
- work independently and in a team environment.
- handle highly confidential information with appropriate discretion.
- work in a high volume, fast paced environment; and
- work in a matrixed organization; leveraging resources across the organization to complete deliverables.
- Working knowledge of programming language (e.g., SQL) and experience with data visualization tools

Additional Skills Desired:
- Working knowledge of MS Office.
- Experience on AI collaboration and integration to BAU processes
- Experience with data and trend analysis related to the management of an AML program.
- Expertise in managing programs focused on ensuring quality within AML programs.
- Certified as an Anti-Money Laundering Specialist by ACAMS or equivalent AML certification/license is a plus.

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 - 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.

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For NY:

Expected base pay rates for the role will be between $140K-$200K per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).