Global Financial Crimes: Financial Intelligence Unit Quantitative Data Analyst

Morgan Stanley USA
Parkville, MD
Jan 14, 2019
Jan 15, 2019
Analyst, Finance
Full Time
Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. 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 integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. Department Profile Global Financial Crimes (GFC) coordinates day-to-day implementation of the Firm's enterprise-wide financial crime prevention efforts. GFC includes several legal and compliance disciplines and has responsibility for governance, oversight and execution of the Firm's Anti-Money Laundering (AML), Sanctions, Anti-Corruption and Government and Political Activities Compliance programs. GFC also develops and/or assists in the development of appropriate policies and procedures, including those designed to assist the business units to know their clients and conduct appropriate due diligence and to prevent, detect and report potentially suspicious activity. GFC has dedicated coverage managers and teams of analysts who advise and counsel each business unit regarding its AML, economic sanctions and anti-corruption obligations and its particular clients and transactions. Background on the Team The Financial Intelligence Unit (FIU) performs the following functions to strengthen the enterprise-wide AML risk management and safeguard the Firm from financial crime risk. - Develop proactive intelligence relating to financial crimes, including: money laundering, terrorist financing, external fraud, global sanctions, corruption, cyber threats and high-risk customers; - Conduct analyses of relevant data to identify trends/patterns/emerging threats, as well as other information that may be useful to the Firm; - Receive, request, analyze and disseminate information related to suspicious activities in order to improve GFC's monitoring processes and case results; - Lead global coordination related to: high risk clients, including politically exposed persons, SAR/STR processes, and fulfilling Firm's 314 (a) reporting requirement; - Handle significant case investigations that supplement the efforts of other GFC groups; and - Liaise with law enforcement and participate in law enforcement and industry led working groups. Primary Responsibilities The individual will be required to: - Perform data extraction, aggregation, analysis, and data quality checking from multiple data sources for FIU investigations; - Query and mine large data sets to discover transactional patterns, examine financial data using predictive/advanced analytic methodologies; - Use results of analysis to inform enhancements to Firm's transaction monitoring system, if and when warranted; - Analyze trends and patterns in transaction monitoring system alerts for GFC coverage areas; - Assist in development of research and analytic tools designed to enhance the work of the FIU and GFC; - Contribute to thought leadership in understanding the quantitative trends and pattern of financial crime risks facing the Firm; - Perform ad hoc analytics on large and diverse datasets; and - Liaise with Compliance IT and other key stakeholders and partners with respect to technology projects and other initiatives impacting the FIU. Qualifications: Skills Required Candidates must have: - Bachelor's degree from a four-year college or university in related field (eg, Economics, Mathematics, Statistics, Engineering, Computer Science); a Master's degree in a related field is desirable; - Two to four years of proven experience in analyzing data in the financial services sector, or related industry (tuning and optimizing AML monitoring systems and scenarios is a plus); - Ability to retrieve, analyze, and interpret data, providing clear and concise analysis/recommendations to senior stakeholders; - Experience querying databases with SQL; - Experience using data visualization tools such as Tableau, Cognos, Microstrategy; - Desire to work with big data technologies such as Hadoop, Spark, and Hive; - Some experience with statistical software packages and programming languages including Python, Scala, SAS, R, and/or SPSS; - Ability to apply context and judgment to findings, ideally in relation to financial crime risk; - Ability to perform qualitative analyses across a range of diverse sources of varying reliability; - Experience creating presentations and other deliverables for senior stakeholders; - An understanding of financial markets and banking data types; - An understanding of database concepts (primary keys, entity relationships, indexes, etc.); - Excellent written and verbal communications skills, attention to detail and strong time management skills; - Strong analytical thinking and critical reasoning skills; - Excellent interpersonal skills and ability to work effectively with colleagues across regions and Business Units; - The ability to effectively handle a fast paced environment and successfully meet established deadline requirements; - Be self-motivated and must have the ability to work independently; and - Certification as an Anti-Money Laundering Specialist by ACAMS or equivalent AML certification/license - or certification within first 15 months of employment Global Financial Crimes: Financial Intelligence Unit Quantitative Data Analyst

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