Enterprise Compliance Officer - Charlotte, United States - TIAA

Description

Enterprise Compliance Officer (AML Tuning & Analytics) The Enterprise Compliance Lead/Manager will manage the tuning and optimization of AML monitoring systems. This individual will lead in conducting tuning on a periodic basis to ensure that the parameters utilized are set at the most optimal level for the settings to produce statistically relevant alerts. The lead will work with the BSA Tuning and Analytics Director to implement the optimization and tuning process that will design and develop the statistical methodologies for customer segmentation and statistical threshold analysis that will be deployed within TIAA's Enterprise AML and sanctions programs. Further, this role requires the individual to work with the appropriate AML business partners to assist in performing all necessary tasks required to conduct the periodic tuning and optimization of the AML monitoring systems.

Key Responsibilities and Duties

• Lead the tuning and optimization of existing models for enhanced accuracy and efficiency, find the gaps in existing models and develop/implement new models.
• Conduct detail testing and validation of AML models, document the results and recommend improvements.
• Expertise with Actimize Suspicious Activity Monitoring (SAM), Sanctions Screening (WLF) and Customer Due Diligence (CDD).
• Experience working with BSA/AML products such as Nice Actimize, Mantas, Moody's, Lexis Nexis Bridger or Fircosoft, Refinitiv, etc.
• Experience accessing and analyzing large volumes of data using data analysis tools (e.g., SQL, Python, Tableau, SAS) and programming languages (e.g., Python, R)
• Analytical background with statistical knowledge for customer segmentation and threshold calibration. Experience with statistical modeling/data mining (decision tree, logistic regression, cluster analysis, etc.).
• Responsible for developing an understanding of various Bank Secrecy Act (BSA)/ Anti-Money Laundering (AML) monitoring and Sanctions screening models, underlying data, business, and functional requirements and assist in documenting reports.
• Research and understand data from various systems to support AML model tuning and optimization team.
• Collaborate and manage with other operations analysts to contribute to the development of AML detection models.
• Identify relationships and trends in data, as well as any factors that could affect the model results and present model results to the stake holders.
• Work closely with compliance, governance, and IT teams to ensure alignment with regulatory standards.
• Communicates results to onshore/offshore team including key findings, issues, resolution, and takeaways.
• Act as liaison between Business and IT to determine critical data elements related to BSA requirements.
• Lead and collaborate with IT teams to troubleshoot and resolve AML platform related issues.
• Support satisfactory end user experience by testing system upgrades, patches, and other changes.
• Manage & provide day-to-day assistance to onshore/offshore analytics team.
• Provide subject matter expertise to support data analytics related initiatives across the organization.
• Assist management in special projects, reports, training, and/ or presentations to communicate program updates.

Educational Requirements

• University (Degree) Preferred

Work Experience

• 5+ Years Required; 7+ Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level
8IC

REQUIRED QUALIFICATION:

• 5+ years of experience in Financial Crime Compliance domain, data analysis, statistical modeling, and/or AML Products (e.g., NICE Actimize, Mantas, SAS)

PREFERRED QUALIFICATIONS:

• 7+ years of experience in Financial Crime Compliance domain, data analysis, statistical modeling, and/or AML Products (e.g., NICE Actimize, Mantas, SAS)
• Knowledge of financial services (brokerage, insurance, retirement, trust, and investment operations).
• ACAMS certification or willingness to pursue certification
• University degree in Criminal Justice, Intelligence Analysis, Mathematics, Economics, Computer Science, Data Science, Engineering, MIS, Information Management, or Statistics

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Anticipated Posting End Date:

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans).

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Company Overview

TIAA is the leading provider of financial services in the academic, research, medical, cultural and government fields. We offer a wide range of financial solutions, including investing, banking, advice and education, and retirement services.

Benefits and Total Rewards

The organization is committed to making financial well-being possible for its clients, and is equally committed to the well-being of our associates. That's why we offer a comprehensive Total Rewards package designed to make a positive difference in the lives of our associates and their loved ones. Our benefits include a superior retirement program and highly competitive health, wellness and work life offerings that can help you achieve and maintain your best possible physical, emotional and financial well-being. To learn more about your benefits, please review our Benefits Summary.

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