Morgan Stanley
Financial Crimes Risk Officer - Data Management - Vice President
Morgan Stanley, Tampa, Florida, us, 33646
Overview
Financial Crimes Risk Officer - Data Management - Vice President at Morgan Stanley. 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 focuses on risk mitigation, execution enhancement, automation, and control improvements, and involves collecting and analyzing data to deliver actionable insights to support decision-making and strategic planning. The VP serves as a trusted advisor to the business, providing solutions to complex and high-impact issues. 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 and monitor service and productivity levels, recommending 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 Business, Operations, Technology, Second Line of Defense, and other stakeholders to design and maintain effective controls. Lead key initiatives to assess and mitigate financial crime and operational risk exposure; manage multiple workstreams with competing priorities in a dynamic environment. Deliver clear, concise communication through professional presentations tailored to various audiences. Develop innovative solutions to enhance controls, increase efficiency, and improve the customer experience. Required Experience
7+ years of relevant experience with BSA/AML Regulations within financial services or with a financial services regulator (e.g., FINRA, SEC, OCC, Federal Reserve). Proactive and self-motivated with strong leadership and team management skills. Undergraduate degree in Business, Finance, or related field. Strong knowledge of KYC, CIP, and CDD requirements. Effective verbal and written communication, with strong interpersonal skills. Ability to manage teams with integrity and strong work ethic; excellent organizational and time management skills. Familiarity with data reconciliation across applications and data application mapping (inflows and outflows). Experience with relational databases, file systems, and reading/writing code (e.g., SAS, Python, SQL). Experience in BI/analytics, data management, data governance, data quality, and/or data architecture. Understanding of data governance and data concepts; proficient with Microsoft Office applications. Experience with machine learning algorithms (supervised and unsupervised) and analytical toolkits. Ability To
Take initiative, analyze, summarize, and communicate effectively. Investigate issues, impacts, and trends to propose comprehensive solutions. Multitask, work independently and in a team, handle confidential information, and operate in a high-volume, fast-paced environment. Navigate a matrixed organization and leverage cross-organizational resources; working knowledge of programming languages (e.g., SQL) and data visualization tools. Additional Skills Desired
MS Office proficiency; experience with AI collaboration and integration to BAU processes. Experience with data and trend analysis related to AML program management. Program management expertise focused on quality within AML programs. 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. Our values guide decisions to serve clients, communities, and more than 80,000 employees in 42 countries. We offer attractive and comprehensive employee benefits and opportunities to grow within the firm. For more about our global offices, copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Location:
Tampa, FL Salary range for New York residents is provided for reference; base pay is determined on an individualized basis and may include additional compensation components. Morgan Stanley is an equal opportunity employer committed to diversity and inclusion. It is the policy of the Firm to provide equal employment opportunity without discrimination or harassment. Seniority level
Executive Employment type
Full-time Job function
Finance and Sales
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Financial Crimes Risk Officer - Data Management - Vice President at Morgan Stanley. 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 focuses on risk mitigation, execution enhancement, automation, and control improvements, and involves collecting and analyzing data to deliver actionable insights to support decision-making and strategic planning. The VP serves as a trusted advisor to the business, providing solutions to complex and high-impact issues. 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 and monitor service and productivity levels, recommending 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 Business, Operations, Technology, Second Line of Defense, and other stakeholders to design and maintain effective controls. Lead key initiatives to assess and mitigate financial crime and operational risk exposure; manage multiple workstreams with competing priorities in a dynamic environment. Deliver clear, concise communication through professional presentations tailored to various audiences. Develop innovative solutions to enhance controls, increase efficiency, and improve the customer experience. Required Experience
7+ years of relevant experience with BSA/AML Regulations within financial services or with a financial services regulator (e.g., FINRA, SEC, OCC, Federal Reserve). Proactive and self-motivated with strong leadership and team management skills. Undergraduate degree in Business, Finance, or related field. Strong knowledge of KYC, CIP, and CDD requirements. Effective verbal and written communication, with strong interpersonal skills. Ability to manage teams with integrity and strong work ethic; excellent organizational and time management skills. Familiarity with data reconciliation across applications and data application mapping (inflows and outflows). Experience with relational databases, file systems, and reading/writing code (e.g., SAS, Python, SQL). Experience in BI/analytics, data management, data governance, data quality, and/or data architecture. Understanding of data governance and data concepts; proficient with Microsoft Office applications. Experience with machine learning algorithms (supervised and unsupervised) and analytical toolkits. Ability To
Take initiative, analyze, summarize, and communicate effectively. Investigate issues, impacts, and trends to propose comprehensive solutions. Multitask, work independently and in a team, handle confidential information, and operate in a high-volume, fast-paced environment. Navigate a matrixed organization and leverage cross-organizational resources; working knowledge of programming languages (e.g., SQL) and data visualization tools. Additional Skills Desired
MS Office proficiency; experience with AI collaboration and integration to BAU processes. Experience with data and trend analysis related to AML program management. Program management expertise focused on quality within AML programs. 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. Our values guide decisions to serve clients, communities, and more than 80,000 employees in 42 countries. We offer attractive and comprehensive employee benefits and opportunities to grow within the firm. For more about our global offices, copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Location:
Tampa, FL Salary range for New York residents is provided for reference; base pay is determined on an individualized basis and may include additional compensation components. Morgan Stanley is an equal opportunity employer committed to diversity and inclusion. It is the policy of the Firm to provide equal employment opportunity without discrimination or harassment. Seniority level
Executive Employment type
Full-time Job function
Finance and Sales
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