Assistant Vice President, 1L Financial Crimes Risk, Data Analytics and Reporting

Morgan Stanley•Miami, FL

25d•$100,000 - $135,000

About The Position

Morgan Stanley (“MS”) is a global financial services firm that conducts its business through three principal business segments—Institutional Securities, Wealth Management (WM), and Asset Management. Morgan Stanley provides comprehensive financial advice and services to its clients including brokerage, investment advisory, financial and wealth planning, credit and lending, deposits and cash management, annuities, insurance, retirement, and trust services. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in doing the right thing, putting clients first, leading with exceptional ideas and a commitment to diversity and inclusion. Morgan Stanley can provide a superior foundation for building a professional career – a place for people to learn, achieve, and grow Department Profile: The WM and U.S. Banks Financial Crimes Risk Team (“FCR”) department is embedded within the Firm’s business line. It is responsible for identifying, assessing, and escalating potential money laundering and reputational risk issues associated with higher risk client types. The FCR department is considered the first line of defense and supports the onboarding, enhanced due diligence, and negative news processes for Morgan Stanley. Position Summary: Our key priority is to design and build Wealth Management, Bank, and Investment Management Risk’s ability to aggregate, analyze and report on relevant risk factors within the FCR segment across these Morgan Stanley businesses. The Data, Analytics and Reporting Team (“DART”) within FCR is seeking a candidate who will provide analytical and reporting automation support for the financial crimes program, regulatory thematic updates, and transformation initiatives across the first line financial crimes processes. In addition to working within FCR, the employee will also collaborate with the Business, IT, Legal and Compliance, and Bank and Field Management. Key Responsibilities: Our key priority is to design and build the first line Financial Crimes Risk supervisory framework and control structures. This includes the ability to aggregate, analyze and report on key risk factors in the Financial Crimes space across WM, Bank, and Investment Management businesses, particularly with respect to heightened risk client types and international wealth businesses and compliance with relevant policies and procedures when servicing clients. The ideal candidate will have experience in managing complex strategic projects, related to risk oversight in financial crimes, have expertise in data management and reporting as well as good strategic thinking and communication skills to produce effective monitoring of existing and emerging risks and ultimately effect change in the business’ risk management practices. The candidate will be responsible for collecting, processing, and analyzing data from various sources. The employee will be expected to work independently as well as part of a team to execute the full cycle of quantitative analysis. This includes sourcing raw data, quality checking the data, transforming data as necessary and using data to draw sound conclusions and help drive risk policies. This role requires familiarity with datasets larger than four million records and to build automated and scalable tools for reporting and analysis. The employee will take initiative and responsibility to drive tasks forward. In addition to data management, the ability to reach conclusions quickly and consistently will be critical to being successful in this role.

Requirements

Have 5+ years of relevant experience with BSA/AML Regulations within the financial services industry, or at a financial services regulator (e.g., FINRA, Office of the Comptroller of the Currency, Federal Reserve Bank, Securities and Exchange Commission, etc.)
Have a bachelor’s degree in Business, Finance, or other related field
Strong knowledge of SQL and Python
Strong project management skills and ability to manage many competing priorities
Experience visualizing data for reporting and end user analysis, using tools like Tableau
Practical experience with applying statistical models to solve business problems
A quantitative degree e.g., Math, Statistics, Computer Science, Finance
Experience in risk management, financial industry and/or business management.
Knowledge related to Wealth Management a plus
Working knowledge of financial risk management concepts, with a desire to quickly acquire deeper proficiency
Familiarity with Agile software development and software design patterns is a plus
Excellent written and verbal communication skills, and comfortable interfacing with senior personnel on highly sensitive issues
Proven ability to work across departments to influence others and build strong relationships
Strong belief in purposeful evolution, innovation, and digital transformation
Attention to detail, high level of initiative and resourcefulness and ability to problem solve, demonstrate good business judgment and integrity
Proficiency in Microsoft programs including Outlook, Word, PowerPoint and Excel

Responsibilities

Support development of control structure based on ongoing analysis and relevant risks related to the first line financial crimes risk program, including regulatory and transformation initiatives
Through data-driven analyses, liaise with functional area representatives from FCR and its stakeholders to identify and assess potential gaps in the risk framework and provide recommendations on control structures
Assist with developing requirements and work closely with technology, data & analytics, and operations teams to drive relevant data sourcing systemic control development
Manage projects to build automated and scalable tools for reporting, analysis and gaining efficiencies in financial crimes risk processes
Assist in designing and implementing a holistic risk management framework for the firm’s financial crimes risk program
Integrate new data queries and insights into existing supervision framework
Perform data analysis on special topics related to key events and regulations
Assist in building data pipelines to support risk management process
Engage senior stakeholders across 1st and 2nd lines on special initiatives and ongoing financial crimes related risk matters
Expand the use of AI across 1st line FCR data driven activities and processes to drive efficiency and automation