Data Science Senior Lead Analyst, Citi

Citi

Location:

United States, New York ▼

O'Fallon

Tampa

Irving

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

176720.00 - 265080.00 USD / Year

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Job Description:

Serves as a key member of the Fair Lending Analytics and Monitoring ICRM team, which has responsibility for all data management, metrics and statistical analysis for the enterprise-wide fair lending compliance across Citi’s US businesses. The Data Science Senior Lead Analyst will be required to conduct statistical analyses related to mortgages for both Retail and Wealth channels, and when needed – also to support Cards and Small Business projects, focusing on fair lending aspect in order to identify and measure Citi’s exposure to fair lending risk.

Job Responsibility:

Design and employ statistical analysis and modeling techniques to assist Fair Lending Analytics and Monitoring and all relevant business units in their compliance with Citigroup Fair Lending Policy and all Fair Lending laws and regulations
Document methodology and execution of analyses according to the established approached, following existing templates and practices
Lead enhancements of the existing in-house fair lending analytical methodologies and practices used to identify fair lending risks through the entire mortgage lifecycle, including underwriting, pricing, and loss mitigation
Where applicable seek improvements in implemented processes and support other team members in data mining, data assessment, validation, analysis, and correction to determine any limitations on reliability or usability
Provide active support (including presentation) during the exams and audits, and executive communication to top management
Support management during the work with examiners and business units to resolve any questions related to analytical methodology or data integrity
Support management in advising the business units, regulatory examiners, and other interested parties on quantitative methods and analysis, and presenting results in the form of articles, reports, or presentations
Develop and deepen Subject Matter Expertise in large Fair Lending, and HMDA as well as in specific fair lending analytics field through internal, external and on-the-job training
Act as a quality reviewer for work conducted by other team members
Special projects assigned at the direction of the direct manager
Coaching and mentoring others when applicable
Additional duties as needed

Requirements:

Direct experience in fair lending and analytics strongly preferred
Hands-on experience with analysis using HMDA data and experience in analytics related to mortgages and housing market strongly preferred
Expertise and hands-on experience in advance programming using: SAS / R / Python, and SQL for basic data mining
additional experience and knowledge of Big Data tools preferred
In-depth knowledge and understanding, and demonstrated experience working with logistic regression model development, univariate and multivariable statistics, sampling designs, disparities analysis
Ability of outside-of-box thinking and presenting complex ideas in a simple manner
Excellent communication skills (oral and written in English)
Must be a team player and able to support team deliverables while delivering on individual responsibilities
Strong ability to work both collaboratively and independently
Knowledge of consumer lending products and regulatory requirements including ECOA and FHA preferred
Fair Lending knowledge and experience highly preferred
HMDA data and mortgage experience highly preferred
Project management, overseeing others’ work, coaching experience highly preferred
Executive presentations experience highly preferred
Bachelor’s degree or 12+ years equivalent experience in a highly quantitative field, such as data science, applied economics, applied statistics, mathematics, or physics
10+ years experience in a highly quantitative field, such as data science, applied economics, applied statistics, mathematics, or physics and Master’s degree preferred
5+ years experience in a highly quantitative field, such as data science, applied economics, applied statistics, mathematics, or physics and Ph.D. preferred

Nice to have:

Project management, overseeing others’ work, coaching experience
Executive presentations experience

What we offer:

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Additional Information:

Job Posted:

March 22, 2025

Expiration:

April 25, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Data Science Senior Lead Analyst