Citi

This individual will be a part of the Global AML Risk Insights team which serves as the end-to-end feedback loop for Citi’s AML Compliance program as well as a driver of credible challenge for the existing control environment. They will support the team with identification of existing and emerging risks through data analysis, utilizing various tools and techniques, to identify key risk trends and insights and supporting with various targeted data reviews outside of existing controls to identify potential risks. The successful candidate will have experience with using data analytics techniques to derive insights from various data sources, collaborate with cross-functional teams, and clearly and effectively communicating findings with stakeholders, including Senior Leadership. Experience and knowledge in banking will be desirable.

Responsibilities:

• Collect, normalize, and analyze large sets of data from various source systems across different functions of the bank with the ability to apply quantitative and qualitative data analysis methods
• Validate the data being utilized to identify data quality issues (if any), and work with Technology to address them
• Identify relationships and trends in data, as well as any factors that could affect the results of research. Escalate identified risks and sensitive areas in terms of methodology and processes
• Design, develop and improve process to automate the end-to-end analytics cycle from source data to final deliverable for senior management
• Collaborate with cross-functional stakeholders to develop, design, and execute data-drive solutions to problem solve
• Demonstrate ability to continuously learn and provide value in a dynamic environment
• Managing the day-to-day aspects of the program

Qualifications:

• 5-8 years relevant professional experience, preferably in financial services industry or in a role directly supporting financial industry.
• Strong critical thinking for insights and solutions, including those that are self-identified
• Strong presentation skills with the ability to articulate complex problems and solutions through concise and clear messaging
• Ability to work collaboratively with cross-functional units; ability to navigate a complex matrix environment.
• Experience in Data Analysis, including utilizing Big Data, Artificial Intelligence, and Business Intelligence solutions, along with extensive analytical programming techniques
• Strong fluency in Python /SAS and Microsoft Office applications, particularly Excel and PowerPoint
• Ability to manipulate data using SQL or equivalent; familiarity with DB Visualizer is a plus.
• Experience with Tableau and/or other BI Analytics toolsets (Tableau Preferred)
• Knowledge of the local/regional laws and regulations applicable to anti-money laundering a plus
• Proven ability to work independently and be a self-starter.

Education:

• Bachelor's degree
• ACAMS Certification a plus

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group:

Technology

Job Family:

Data Science

Time Type:

Full time

Primary Location:

Tampa Florida United States

Primary Location Full Time Salary Range:

$87,280.00 - $130,920.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date:

Jun 19, 2025

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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