Assistant Vice President - Financial Crimes Risk Officer - Data Management jobs in United States
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Morgan Stanley · 3 months ago

Assistant Vice President - Financial Crimes Risk Officer - Data Management

Morgan Stanley is a leading financial services firm, and they are seeking an Assistant Vice President - Financial Crimes Risk Officer to enhance their financial crimes program. This role focuses on risk mitigation strategies, policy development, and technology requirements while collaborating with various stakeholders to ensure regulatory compliance and operational effectiveness.

Asset ManagementFinanceFinancial ServicesLending
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H1B Sponsor Likelynote

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
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
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
Monitor service and productivity levels, recommending and implementing continuous improvements
Participate on key initiatives aimed at assessing and mitigating financial crime and operational risk exposure
Contribute to 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

Qualification

BSA/AML RegulationsFinancial Crimes ProgramsData ManagementData VisualizationMachine Learning AlgorithmsData GovernanceRelational DatabasesData Quality ManagementMicrosoft OfficeCommunication SkillsTime ManagementLeadership QualitiesProblem Solving

Required

5+ 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.)
Bachelor's degree in Business, Finance, or other related fields
Strong leadership qualities and evidence a strong work ethic as well as a high degree of integrity
Implementation and execution of Financial Crimes Programs requirements
Knowledge of Financial Crimes laws and regulations and familiarity with best practice first line procedures and processes
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, 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
Analyze, summarize, and communicate effectively
Working knowledge of MS Office (Microsoft Excel/PowerPoint/Word/Access)
Work Independently and being proactive
Operate with confidence and comfort in high-paced and high-profile environments with minimum supervision
Multitask effectively and execute actions promptly
Identify issues, investigate root causes, and escalate promptly
Handle highly confidential information professionally and with appropriate discretion

Preferred

Certified as an Anti-Money Laundering Specialist by ACAMS or equivalent AML certification/license is a plus
Certified Sanctions Specialist is a plus
Knowledge of Financial Crimes regulatory requirements and expectations
Strong time management and planning skills
Strong people skills and ability to communicate effectively both verbally and in writing
Working knowledge of programming language (e.g., SQL) and experience with data visualization tools
Experience on AI collaboration and integration to BAU processes

Benefits

Commission earnings
Incentive compensation
Discretionary bonuses
Other short and long-term incentive packages
Other Morgan Stanley sponsored benefit programs

Company

Morgan Stanley

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Morgan Stanley is a financial services company that offers securities, asset management, and credit services.

H1B Sponsorship

Morgan Stanley has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (222)
2024 (195)
2023 (173)
2022 (153)
2021 (165)
2020 (173)

Funding

Current Stage
Public Company
Total Funding
unknown
1997-02-05IPO

Leadership Team

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James Gorman
Chairman and CEO
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Ted Pick
Chief Executive Officer (CEO)
Company data provided by crunchbase