Sanctions Compliance – Associate
TIAA
The Compliance Advisor assists with broader planning of business unit compliance programs in order to ensure organization functions are in compliance with all relevant laws, regulations, and policies and to prevent illegal, unethical, or improper business practices within the organization. Working independently under general supervision, this job assists team members with identifying, investigating, and reporting compliance risks.
Key Responsibilities and Duties
- Supports compliance risk assessments to identify compliance issues, concerns, and deficiencies.
- Assists with investigations in response to complaints and/or potential violations of rules, regulations, policies, and procedures.
- Supports organization and implementation of compliance audits.
- Assists with the design and implementation of corrective action plans to resolve problematic compliance issues and to ensure that compliance deficiencies are corrected.
- Drafts reports on the results of compliance and ethics initiatives of the business unit.
- Maintains documentation of compliance activities to provide a record of issues, and to ensure easy accessibility and retrieval of documents.
- Assists with the implementation of preventative measures and compliance processes, while contributing to the revision of policies and procedures to improve the general operation of business unit compliance programs as needed.
Educational Requirements
- University (Degree) Preferred
Work Experience
- 2+ Years Required; 3+ Years Preferred
Physical Requirements
- Physical Requirements: Sedentary Work
Career Level
6IC
Job Title: Enterprise Compliance Senior Data Analyst (Sanctions)
Business Area: Legal, Risk & Compliance
Job Code:
Job Tier:
Associate
Job Family: AML and Sanctions Compliance
FLSA:
No
Position Summary: Describe below the primary purpose and function of this job
The BSA Technology Senior Data Operations Analyst will assist in the tuning and optimization of AML monitoring systems. This individual will assist 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 BSA Technology Senior Data Operations Analyst will work with the BSA AML 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 business unit/ AML partners to assist in performing all necessary tasks required to conduct the periodic tuning and optimization of the AML monitoring systems.
Key Duties & Responsibilities:
The following duties are generally representative of the nature and level of work assigned and are not necessarily all-inclusive:
- 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 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
- Conduct through testing and validation of AML models, documenting results and recommending improvements
- Assist in tuning and optimization of existing models for enhanced accuracy and efficiency
- 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
- 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
- Provide day-to-day assistance with 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
Management/Leadership Responsibility:
No Management responsibilities
Budget Responsibility:
No Budget Responsibilities
Impact of Role
Area of Impact – Financial Crime Compliance team
Skills Required
- 3+ years of 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)
- 2+ years of experience with statistical modeling/data mining (decision tree, logistic regression, cluster analysis, etc.)
- Excellent verbal and written communication skills.
- Excels in a fast pace, agile project life cycle
- Experience with data validation, data linage, and model risk validation
- Knowledge of BSA requirements, including transaction monitoring, sanctions screening, and customer risk scoring.
- Analytical background with statistical knowledge for customer segmentation and threshold calibration.
- Works well independently.
- Ability to collaborate with individuals across business and/or functional lines.
- Proficiency in learning new software systems as technology evolves.
- Flexibility to adapt to changing priorities to meet business needs.
- Proven research, analysis, problem-solving and decision-making skills
Functional Knowledge Required
- Good understanding of BSA/AML products such as Nice Actimize, Moody’s, Lexis Nexis Bridger or Fircosoft, Refinitiv, etc.
- Knowledge of regulations as applied to BSA/AML, OFAC, and FinCEN.
- Demonstrated success with working in collaborative and contributing to a strong analytically focused team eventually gathering AML/BSA or Economic Sanctions experience
- Knowledge of financial services (brokerage, insurance, retirement, trust, and investment operations).
- Proficient in the Microsoft Office suite (Word, Excel, PowerPoint) and Teams.
- ACAMS certification or willingness to purse certification
Job Requirements And Qualifications:
Required Education:
BA/BS
Graduate ( Mandatory )
Preferred Education:
BA/BS
- University degree in Intelligence Analysis, Mathematics, Economics, Computer Science, Data Science, Engineering, MIS, Information Management, or Statistics
Required Experience:
3-5 years
Preferred Experience:
5-10 years
Overall
Hiring Preference
Shall be supporting US, typically working hours:
(3:00 PM PM IST to 12:00 PM IST)
Required Licenses/Certifications:
Other
Related Skills
Adaptability, Business Process Understanding, Compliance, Compliance Trends, Critical Thinking, Detail-Oriented, Influence, Relationship Management, Risk Monitoring, Strategic Thinking
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Company Overview
TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space.
Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.
We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status.
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TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities.
If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team:
Phone: (800) 842-2755
Email: [email protected]
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