Specialized Analytics Lead Analyst

Citibank, N.A. seeks a Specialized Analytics Lead Analyst for its New York, NY location.

Duties: Perform financial assessments of various scenarios and new initiatives created for enhancing the efficiency and effectiveness of the digital, phone channels and provide recommendations. Build models using traditional or advanced statistical techniques including Naïve Bayes, Logistic regression, and gradient boosting using tools including SAS, SQL, R, Hive, and Pig to predict customer response. Create partial/full-factorial experimental designs for testing a new offer/product/strategy and use the learnings to recommend future offerings/strategy. Initiate improvements and new model roll outs to enhance the channel (digital, phone, branch) marketing optimization. Use optimization tools to identify the next best offer based on the expected customer response to the product/offer and financial assessment of the product/offer, ensure the optimization/targeting framework meet the regulatory standards. Continuously enhance or modify the process (models, financial forecasting, or other factors) to identify the next best offer to be shown to a customer on digital, phone channels based on the latest business goals. Create customer management strategies for the digital customer experience. Coordinate partnerships across functional Product, Marketing, Risk, Legal, Fair Lending, Compliance, and Technology teams to initiate improvements to Citi’s channel (digital, phones, branch) marketing optimization and servicing experience. 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 Statistics, Engineering (any), Finance, Operations Research, or a related field, and four (4) years of experience in the job offered, or in an analytics or consulting-related occupation. Four (4) years of experience must include: Using Excel and VBA macros to conduct financial forecasting of financial products and offerings; Leveraging Relational Databases (SQL & Python), Digital Tools (Adobe, Hive, Glassbox, & Pointlist), Ddata wrangling, Probability & Statistics, Digital Targeting, econometrics, and Profitability/PNL Metrics to identify real-time attributes that will radically transform the optimization framework for Omni Channel Decisioning; Simulating business outcomes in a dynamic macro-economic environment to help the business define guardrails to balance business objectives & enhance digital productivity; Using Machine Learning (ML) algorithms including Naïve Bayes and logistic regression to identify next best offer & create an arbitration framework to identify the next best action; Conducting Model Governance and Disparate/Adverse impact analysis using SQL and Python; and Setting up guidelines and regular monitoring of ML models in accordance with regulatory and compliance policies. 40 hrs./wk. Applicants submit resumes at https://jobs.citi.com/.  Please reference Job ID #25846543. EO Employer.

Wage Range:                $201,100.00 to $206,200.00

Job Family Group:         Decision Management

Job Family:                   Specialized Analytics (Data Science/Computational Statistics)

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Time Type:

Full time

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Primary Location:

New York New York United States

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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.

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Anticipated Posting Close Date:

Jul 08, 2025

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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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