Model/Anlys/Valid Officer

Citi; Tampa (FL); Hybrid; USD 141,000 - 180,000; Full time

Job summary

Citibank, N.A. in Tampa, FL seeks a Model/Anlys/Valid Officer to develop AML risk models and validate thresholds. You will perform statistical analyses using SAS, SQL, Python and Hive, build scoring models, and present results to senior management.

This role supports global OCC compliance and may offer a telecommuting/hybrid arrangement within a commutable distance. Strong experience with data analysis, model development, and cross-functional collaboration is required to protect Citi's customers

Qualifications

• Statistical data analysis and data modeling using SAS, SQL, Python, Hive and Excel.
• Understand data requirements and perform data quality/requirement analysis for projects.
• Communicate with stakeholders across business, risk, technology and data units to collaborate on solutions.
• Utilize relational databases (Oracle/SQL) to fetch data for analysis and create dashboards.

Responsibilities

• Analyze data across segmentation, threshold tuning, modeling and validation for AML.
• Develop AML risk models using defined methodology for global compliance.
• Prepare and present statistical results and projections to senior management.
• Collaborate with regional teams, Detection Risk Coverage, Independent Validation & Audit, and tech groups to improve models and thresholds.
• Define data requirements and validate information, applying judgments and statistical tests.

Skills

Statistical analysis

Data modeling

Data quality analysis

Stakeholder communication

Education

Bachelor’s degree in related field

Master’s degree in related field

Tools

SAS

SQL

Python

Hive

MS Excel

Tableau

HP ALM

Job description

Citibank, N.A. seeks a Model/Anlys/Valid Officer for its Tampa, FL location.

Duties

Conduct analysis across segmentation, threshold tuning, statistical modeling, and validation, focusing on creating quantitative algorithms for Anti-Money Laundering (AML) Compliance. Apply quantitative and qualitative data analysis methods using SQL, SAS, R, Python, and PySpark to extract, transform, and analyze data. Develop quantitative Anti-Money Laundering (AML) Risk Models based on a well-defined methodology that is consistently applied at a global level to ensure Citi is compliant with OCC (Office of Comptroller of the Currency) mandates related to Anti-Money Laundering and to protect its customers from AML risk. Perform statistical analyses of the data and translate quantitative results into presentation materials and assess projections for accuracy against other quantitative results. Build scoring models using analytical tools and quantitative methodologies, including computerized simulations. Interact with other Financial Crime Analytics and Data Science regional teams, Detection Risk Coverage teams, Independent Validation & Audit teams, and various Technology groups to address data issues and implement improvements to AML models and Threshold settings. Improve AML models & thresholds coverage for various lines of business. Prepare statistical and nonstatistical data exploration reports and validate data to identify data quality issues. Define data requirements and validate information, applying judgment and statistical tests. Familiarize with Citi’s methods and practices to perform the required statistical analyses. Assist senior-level risk managers to utilize statistical analysis to support decision making. Perform statistical analyses for the ultimate purpose of identifying money laundering risks for presentation to senior management. Validate hypothesis to assist decision making. Suggest ongoing improvements for the overall effectiveness of money laundering identification. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite in accordance with Citi policies and protocols.

Requirements

Bachelor’s degree, or foreign equivalent, in Business Analytics, Information Systems, Statistics, Data Science or a related field and six (6) years of experience in the job offered or in a related quantitative occupation performing quantitative and qualitative data analysis. Six (6) years of experience must include: Conducting statistical data analysis and building data models using tools including SAS, SQL, Python, Hive, and MS Excel; Understanding technical, functional, and business data requirements to perform data quality analysis and requirement analysis for project development; Communicating with different stakeholders including business, risk management, technology, and data units to collaborate on developing solutions and sharing results; Utilizing relational databases including Oracle and SQL to fetch data from various data sources for analysis; Utilizing Business Intelligence Tools for dashboard creation; Reviewing reporting results, creating reusable business documents, and presenting in meetings using tools including Tableau, MS Excel, and PowerPoint; Performing validation and quality testing techniques using HP ALM; and Developing and monitoring metrics including KPIs to identify potential issues and areas of improvement. In the alternative, employer will accept a Master’s degree and four (4) years of experience. Employer will accept pre- or post-Master’s degree experience.

Wage Range

$141,107.00 to $180,218.00

Job Family Group

Risk Management

Job Family

Model Development and Analytics

Time Type

Full time

Primary Location

Tampa Florida United States

Primary Location Full Time Salary Range

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

Wholesale Lending Operations Management.

Anticipated Posting Close Date

Oct 30, 2026

Equal Opportunity

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. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.