Morgan Stanley
Financial Crimes Risk Officer - Data Management - Vice President
Morgan Stanley, Purchase, New York, United States, 10577
Overview
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. The role engages with partners to develop, enhance, and redesign financial crimes policies, processes, and procedural requirements, focusing 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. The position serves as a trusted advisor to the business, providing solutions to complex and high-impact issues. It also involves collecting and analyzing data to deliver actionable insights for decision-making and strategic planning, collaborating 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 and integrate 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 and drive 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 and second-line partners. Manage strategic initiatives and tasks supporting the overall financial crimes program; partner with the Business, Operations, Technology, and other stakeholders to design and maintain effective financial crimes controls; lead key initiatives to assess and mitigate financial crime and operational risk exposure. Manage multiple workstreams with competing priorities in a dynamic, fast-paced environment; deliver clear, concise, proactive communication through professional presentations tailored to audiences. Develop innovative, forward-thinking solutions to enhance controls, increase efficiency, and improve customer experience. Required Experience
7+ years of relevant experience with BSA/AML regulations within financial services, or at a financial services regulator (e.g., FINRA, SEC, OCC, Federal Reserve, etc.). Proactive and self-motivated; strong leadership and team management skills. Undergraduate degree in Business, Finance, or related field. Strong knowledge of Know Your Customer, Customer Identification Program, and CDD requirements. Strong interpersonal, written, and verbal communication skills; ability to manage teams with a high degree of integrity. Familiarity with data reconciliation across applications; experience with data application mapping and relational databases; ability to read/write code (e.g., SAS, Python, SQL). Experience in business intelligence/analytics, data management, data governance, data controls, data quality management, and/or data architecture; understanding of data governance concepts. Strong proficiency with Microsoft Office applications; knowledge of machine learning algorithms 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 discretion; work in a high-volume, fast-paced, matrixed organization. Demonstrate working knowledge of programming (e.g., SQL) and data visualization tools. Additional Skills Desired
Working knowledge of MS Office; experience with AI collaboration and integration to BAU processes. Experience with AML program data and trend analysis; program quality management within AML. ACAMS or equivalent AML certification is a plus. What You Can Expect From Morgan Stanley
We are committed to maintaining a first-class service and high standard of excellence. We value integrity, diversity and inclusion, and opportunities for growth. Morgan Stanley offers comprehensive employee benefits and a collaborative environment with opportunities to advance across the business. For more information about global offices, visit the official Morgan Stanley site.
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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. The role engages with partners to develop, enhance, and redesign financial crimes policies, processes, and procedural requirements, focusing 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. The position serves as a trusted advisor to the business, providing solutions to complex and high-impact issues. It also involves collecting and analyzing data to deliver actionable insights for decision-making and strategic planning, collaborating 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 and integrate 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 and drive 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 and second-line partners. Manage strategic initiatives and tasks supporting the overall financial crimes program; partner with the Business, Operations, Technology, and other stakeholders to design and maintain effective financial crimes controls; lead key initiatives to assess and mitigate financial crime and operational risk exposure. Manage multiple workstreams with competing priorities in a dynamic, fast-paced environment; deliver clear, concise, proactive communication through professional presentations tailored to audiences. Develop innovative, forward-thinking solutions to enhance controls, increase efficiency, and improve customer experience. Required Experience
7+ years of relevant experience with BSA/AML regulations within financial services, or at a financial services regulator (e.g., FINRA, SEC, OCC, Federal Reserve, etc.). Proactive and self-motivated; strong leadership and team management skills. Undergraduate degree in Business, Finance, or related field. Strong knowledge of Know Your Customer, Customer Identification Program, and CDD requirements. Strong interpersonal, written, and verbal communication skills; ability to manage teams with a high degree of integrity. Familiarity with data reconciliation across applications; experience with data application mapping and relational databases; ability to read/write code (e.g., SAS, Python, SQL). Experience in business intelligence/analytics, data management, data governance, data controls, data quality management, and/or data architecture; understanding of data governance concepts. Strong proficiency with Microsoft Office applications; knowledge of machine learning algorithms 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 discretion; work in a high-volume, fast-paced, matrixed organization. Demonstrate working knowledge of programming (e.g., SQL) and data visualization tools. Additional Skills Desired
Working knowledge of MS Office; experience with AI collaboration and integration to BAU processes. Experience with AML program data and trend analysis; program quality management within AML. ACAMS or equivalent AML certification is a plus. What You Can Expect From Morgan Stanley
We are committed to maintaining a first-class service and high standard of excellence. We value integrity, diversity and inclusion, and opportunities for growth. Morgan Stanley offers comprehensive employee benefits and a collaborative environment with opportunities to advance across the business. For more information about global offices, visit the official Morgan Stanley site.
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