Posted:
8/27/2024, 6:15:26 AM
Location(s):
Tampa, Florida, United States ⋅ South Dakota, United States ⋅ O’Fallon, Missouri, United States ⋅ Kentucky, United States ⋅ Meridian, Idaho, United States ⋅ Johnson City, Tennessee, United States ⋅ Arizona, United States ⋅ Jacksonville, Florida, United States ⋅ Delaware, United States ⋅ Wilmington, Delaware, United States ⋅ Tucson, Arizona, United States ⋅ Sioux Falls, South Dakota, United States ⋅ Missouri, United States ⋅ Tennessee, United States ⋅ Irving, Texas, United States ⋅ Idaho, United States ⋅ Florence, Kentucky, United States ⋅ San Antonio, Texas, United States ⋅ Texas, United States ⋅ Florida, United States
Experience Level(s):
Senior
Field(s):
AI & Machine Learning
As part of Citi’s Financial Crimes and Fraud Prevention - Modeling and Data organization, this role leverages advanced machine learning tools and data mining techniques to identify and combat fraud. A key focus of the role is on data and feature engineering; transforming raw and complex datasets into optimized inputs for developing high-performance fraud models. The role will be responsible for developing and implementing sophisticated fraud models aimed at preventing and mitigating fraud risks across the full fraud lifecycle including application fraud, synthetic ID fraud, account takeover, and evolving fraud attack methods.
The ideal candidate will bring a strong technical background in data processing, feature engineering, and data manipulation, playing a pivotal role in enabling the development of effective and scalable fraud models. The role requires expertise in extracting and engineering key features from large datasets, ensuring that models are not only accurate but also resilient against emerging fraud patterns.
The role will work closely with technology teams, fraud analytics, and various business partners to stay informed about business and technology shifts, identifying both potential and existing fraud impacts. Technical proficiency in model optimization, algorithm development, and real-time analytics is essential for enhancing fraud prevention efforts.
Responsibilities
Qualifications:
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Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Specialized Analytics (Data Science/Computational Statistics)------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Primary Location:
Jacksonville Florida United States------------------------------------------------------
Primary Location Full Time Salary Range:
$96,960.00 - $145,440.00
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.
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Anticipated Posting Close Date:
Sep 11, 2024------------------------------------------------------
Citi is an equal opportunity and affirmative action employer.
Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. 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.
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View the EEO Policy Statement.
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Website: https://www.citigroup.com/
Headquarter Location: New York, New York, United States
Employee Count: 10001+
Year Founded: 1812
Last Funding Type: Post-IPO Equity
Industries: Banking ⋅ Credit Cards ⋅ Financial Services ⋅ Wealth Management