Morgan Stanley
Assistant Vice President - Financial Crimes Risk Officer - Data Management
Morgan Stanley, Miami, Florida, us, 33222
Overview
Assistant Vice President - Financial Crimes Risk Officer - Data Management role at Morgan Stanley. The Financial Crimes Program Advisory AVP 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 with a focus on risk mitigation, execution enhancement, automation, and control improvements. The AVP assists with strategic priorities to lead 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, delivering solutions to complex and high-impact issues. The role also involves collecting and analyzing data to deliver actionable insights that support 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.
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.
Required Experience
5+ years of relevant experience with BSA/AML Regulations within the financial services industry, or at a financial services regulator (e.g., FINRA, SEC, OCC, Federal Reserve, etc.).
Undergraduate degree in Business, Finance, or related field.
Strong leadership, work ethic, and integrity.
Implementation and execution of Financial Crimes Programs requirements.
Knowledge of Financial Crimes laws and regulations and familiarity with 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 business intelligence/analytics, data management, data governance, data controls, data quality management, and/or data architecture.
Understanding of data governance, data quality, and data concepts.
Strong Microsoft Office skills (Excel, PowerPoint, Word, Access).
Experience with machine learning algorithms (supervised and unsupervised) and analytical toolkits.
Ability To
Analyze, summarize, and communicate effectively.
Working knowledge of MS Office (Excel, PowerPoint, Word, Access).
Work independently and proactively.
Operate with confidence in high-paced environments with minimal supervision.
Multitask effectively and execute actions promptly.
Identify issues, investigate root causes, and escalate promptly.
Handle highly confidential information professionally and with discretion.
Additional Skills Desired
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 communication skills, both verbal and written.
Working knowledge of programming language (e.g., SQL) and data visualization tools.
Experience with AI collaboration and integration to BAU processes.
What You Can Expect From Morgan Stanley We are committed to maintaining first-class service and a high standard of excellence. Our values—putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back—guide the decisions we make every day. Morgan Stanley offers attractive and comprehensive employee benefits and opportunities to move across the business for those who show passion and grit. For more about our offices, copy and paste the following into your browser: https://www.morganstanley.com/about-us/global-offices.
For NY
Expected base pay rates for the role will be between $100K-$135K per year at the commencement of employment. Base pay is individualized and may be part of a total compensation package including commission, incentives, discretionary bonuses, and other Morgan Stanley sponsored programs.
Morgan Stanley is an equal opportunity employer. We are committed to diversifying our workforce and ensuring equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital status, pregnancy, veteran/military status, genetic information, or any other protected characteristic.
Seniority level: Executive
Employment type: Full-time
Job function: Finance and Sales
#J-18808-Ljbffr
Assistant Vice President - Financial Crimes Risk Officer - Data Management role at Morgan Stanley. The Financial Crimes Program Advisory AVP 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 with a focus on risk mitigation, execution enhancement, automation, and control improvements. The AVP assists with strategic priorities to lead 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, delivering solutions to complex and high-impact issues. The role also involves collecting and analyzing data to deliver actionable insights that support 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.
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.
Required Experience
5+ years of relevant experience with BSA/AML Regulations within the financial services industry, or at a financial services regulator (e.g., FINRA, SEC, OCC, Federal Reserve, etc.).
Undergraduate degree in Business, Finance, or related field.
Strong leadership, work ethic, and integrity.
Implementation and execution of Financial Crimes Programs requirements.
Knowledge of Financial Crimes laws and regulations and familiarity with 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 business intelligence/analytics, data management, data governance, data controls, data quality management, and/or data architecture.
Understanding of data governance, data quality, and data concepts.
Strong Microsoft Office skills (Excel, PowerPoint, Word, Access).
Experience with machine learning algorithms (supervised and unsupervised) and analytical toolkits.
Ability To
Analyze, summarize, and communicate effectively.
Working knowledge of MS Office (Excel, PowerPoint, Word, Access).
Work independently and proactively.
Operate with confidence in high-paced environments with minimal supervision.
Multitask effectively and execute actions promptly.
Identify issues, investigate root causes, and escalate promptly.
Handle highly confidential information professionally and with discretion.
Additional Skills Desired
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 communication skills, both verbal and written.
Working knowledge of programming language (e.g., SQL) and data visualization tools.
Experience with AI collaboration and integration to BAU processes.
What You Can Expect From Morgan Stanley We are committed to maintaining first-class service and a high standard of excellence. Our values—putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back—guide the decisions we make every day. Morgan Stanley offers attractive and comprehensive employee benefits and opportunities to move across the business for those who show passion and grit. For more about our offices, copy and paste the following into your browser: https://www.morganstanley.com/about-us/global-offices.
For NY
Expected base pay rates for the role will be between $100K-$135K per year at the commencement of employment. Base pay is individualized and may be part of a total compensation package including commission, incentives, discretionary bonuses, and other Morgan Stanley sponsored programs.
Morgan Stanley is an equal opportunity employer. We are committed to diversifying our workforce and ensuring equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital status, pregnancy, veteran/military status, genetic information, or any other protected characteristic.
Seniority level: Executive
Employment type: Full-time
Job function: Finance and Sales
#J-18808-Ljbffr