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Data Scientist - Merchant and Loyalty Rewards Protection Analyst, AVP

Citigroup

Data Scientist - Merchant and Loyalty Rewards Protection Analyst, AVP

Citigroup

JACKSONVILLE, Florida, United States of America; FLORENCE, Kentucky, United States of America; IRVING, Texas, United States of America; JOHNSON CITY, Tennessee, United States of America; NEW CASTLE, Delaware, United States of America; OFALLON, Missouri, United States of America; SAN ANTONIO, Texas, United States of America; SIOUX FALLS, South Dakota, United States of America; TAMPA, Florida, United States of America

·

On-site

·

Full-time

·

1w ago

This role will advance detection and risk modeling strategies across merchant integrity and rewards ecosystems. This role will develop scalable behavioral models and detection frameworks that proactively identify merchant impersonation, inauthentic business activity, and loyalty/rewards exploitation.

This individual will translate emerging risk patterns into measurable signals and deploy analytic solutions that enhance enterprise protection controls. This role will manage and execute fraud analytics and fraud detection strategies supporting Citi’s North American and global credit card and retail bank businesses.

Responsibilities:

  • Design, develop, and optimize detection models addressing merchant impersonation, inauthentic entities, synthetic or coordinated activity, loyalty/rewards accrual and redemption anomalies, and promotion exploitation.
  • Develop and refined both micro-level and macro-level portfolio-wide anomaly detection, linkages, and behavioral anomalies.
  • Apply graph/network analytics to identify collusion or coordinated abuse patterns
  • Own and optimize fraud rules, risk scores, and model thresholds.
  • Monitor performance and iterate based on emerging patterns
  • Translate intelligence into scalable detection logic.
  • Provide quantitative recommendations to enhance controls and reduce exposure.
  • Partner with Fraud Strategy, Fraud Policy, Intelligence, and Product Teams.
  • Prioritize and provide a clear line of sight to the most critical work to partners and team members.
  • Mentor and coach junior team members.

Qualifications:

  • Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline.
  • 3+ years experience in analytics and modeling or relevant area
  • Extensive experience working with:
  • Big Data environment with hands on coding experience within various traditional (SAS, SQL, etc.) and/or open source (i.e. Python, Impala, Hive, etc.) tools.
  • Traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.
  • Data visualization tools, such as Tableau
  • Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis
  • Ability to build effective presentations to communicate analytical findings to a wide array of audiences.
  • Effective cross-functional project, resource, and stakeholder engagement and management, with ability to effectively drive collaboration across teams.
  • Ability to make decisions independently with minimal guidance from management.

Job Family Group:

Decision Management

Job Family:

Business Analysis

Time Type:

Full time

Primary Location:

Jacksonville 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:

Mar 05, 2026

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.

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About Citigroup

Citigroup

Citigroup

Public

Citigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.

10,001+

Employees

New York City

Headquarters

Reviews

3.3

4 reviews

Work Life Balance

3.0

Compensation

3.2

Culture

2.8

Career

2.5

Management

2.7

35%

Recommend to a Friend

Pros

Compensation increases for investment banking roles

Legitimate investment banking employer

Internship opportunities available

Cons

Unclear career progression paths

Limited meaningful experience in internships

Compensation raises lower than competitors

Salary Ranges

28 data points

Mid/L4

Senior/L5

Staff/L6

Mid/L4 · Business Risk Intermediate Analyst

1 reports

$77,165

total / year

Base

$67,100

Stock

-

Bonus

-

$77,165

$77,165

Interview Experience

5 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 40%

Negative 60%

Interview Process

1

Application Review

2

Recruiter Screen

3

Programming Assessment

4

Hiring Manager Interview

5

Panel/Superday Interviews

6

Final Decision

Common Questions

Technical Knowledge

Case Study

Behavioral/STAR

Past Experience

Culture Fit