Citigroup Inc.
Overview
Citibank, N.A. seeks a Data Science Lead Analyst for its Tampa, FL location. Responsibilities
Develop processes to evaluate and test input data used in models for compliance with fair lending regulations and document model usage boundaries for stakeholders. Evaluate Tier 2 and Tier 3 models including AI/ML and NLP models for compliance with fair lending regulations. Periodically re-validate processes to ensure validity, efficiency, and accuracy; identify enhancement opportunities. Research new reform rules and rule changes; implement policies, procedures, or other controls to comply with rules related to algorithm review from a fair lending and fairness perspective. Assist with regulatory inquiries and examinations, including coordination with regulators and other parties. Collaborate with examiners and business units to resolve questions related to analytical methodology or data integrity. Review internal strategies, policies, procedures, processes, and programs to prevent violations of law; design and deliver a risk management framework within Citi’s risk appetite. Engage with Independent Compliance Risk Management (ICRM) Product and Function coverage teams to develop and apply program solutions that meet functional, business, product, and customer needs in a manner consistent with Citi program framework. Collaborate with Legal, Business Management, Operations, other Control Functions, and In-Business Risk to address compliance issues related to model reviews impacting the supported function, business, or product. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite in accordance with Citi policies and protocols. Qualifications
Bachelor’s degree, or foreign equivalent, in Data Science, Statistics, Business Analytics and Project Management, Economics, or a related field. Three (3) years of experience in developing, validating, modifying, and testing quantitative modeling approaches within the financial services industry. Experience developing, designing, and leveraging advanced quantitative modeling approaches, standard techniques for data inference and performance, and sophisticated statistical models including time-series forecasting and supervised/unsupervised learning using Python, SAS, and R. Experience performing complex data discovery on large-scale data lakes using SQL and Big Data technologies; developing machine learning scoring models. Preparing and validating data to build and validate scoring models using logistic regression and behavioral analytics for analysis and tuning of monitoring money laundering behavioral typologies/scenarios. Conducting data-driven analysis and creating reports using quantitative and qualitative data analysis methods; preparing data exploration documentation and presenting results to technical and non-technical audiences using visualization tools (e.g., Matplotlib, Pyplot, Seaborn in Python). 40 hrs./wk. Applicants submit resumes at Citi’s job site and reference Job ID #25906206. EO Employer. Wage Range:
$154,530.00 to $154,530.00 Job Family Group:
Technology Job Family:
Data Science Primary Location: Tampa Florida United States Time Type: Full time Anticipated Posting Close Date: Nov 03, 2025 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to 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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Citibank, N.A. seeks a Data Science Lead Analyst for its Tampa, FL location. Responsibilities
Develop processes to evaluate and test input data used in models for compliance with fair lending regulations and document model usage boundaries for stakeholders. Evaluate Tier 2 and Tier 3 models including AI/ML and NLP models for compliance with fair lending regulations. Periodically re-validate processes to ensure validity, efficiency, and accuracy; identify enhancement opportunities. Research new reform rules and rule changes; implement policies, procedures, or other controls to comply with rules related to algorithm review from a fair lending and fairness perspective. Assist with regulatory inquiries and examinations, including coordination with regulators and other parties. Collaborate with examiners and business units to resolve questions related to analytical methodology or data integrity. Review internal strategies, policies, procedures, processes, and programs to prevent violations of law; design and deliver a risk management framework within Citi’s risk appetite. Engage with Independent Compliance Risk Management (ICRM) Product and Function coverage teams to develop and apply program solutions that meet functional, business, product, and customer needs in a manner consistent with Citi program framework. Collaborate with Legal, Business Management, Operations, other Control Functions, and In-Business Risk to address compliance issues related to model reviews impacting the supported function, business, or product. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite in accordance with Citi policies and protocols. Qualifications
Bachelor’s degree, or foreign equivalent, in Data Science, Statistics, Business Analytics and Project Management, Economics, or a related field. Three (3) years of experience in developing, validating, modifying, and testing quantitative modeling approaches within the financial services industry. Experience developing, designing, and leveraging advanced quantitative modeling approaches, standard techniques for data inference and performance, and sophisticated statistical models including time-series forecasting and supervised/unsupervised learning using Python, SAS, and R. Experience performing complex data discovery on large-scale data lakes using SQL and Big Data technologies; developing machine learning scoring models. Preparing and validating data to build and validate scoring models using logistic regression and behavioral analytics for analysis and tuning of monitoring money laundering behavioral typologies/scenarios. Conducting data-driven analysis and creating reports using quantitative and qualitative data analysis methods; preparing data exploration documentation and presenting results to technical and non-technical audiences using visualization tools (e.g., Matplotlib, Pyplot, Seaborn in Python). 40 hrs./wk. Applicants submit resumes at Citi’s job site and reference Job ID #25906206. EO Employer. Wage Range:
$154,530.00 to $154,530.00 Job Family Group:
Technology Job Family:
Data Science Primary Location: Tampa Florida United States Time Type: Full time Anticipated Posting Close Date: Nov 03, 2025 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to 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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