Business Analytics Senior Manager
at Citi
Posted 6 days ago
No clicks
- Compensation
- $175,400 – $175,400 USD
- City
- New York City
- Country
- United States
Currency: $ (USD)
Lead development of fraud rules, scores, and detection strategies, as well as risk appetite execution and defect analysis. Leverage analytics to identify enhancement opportunities and actionable insights, collaborating with cross-functional teams to implement mitigation strategies. Build effective dashboards and ad-hoc reports (Tableau) to monitor trends and support data-driven decisions, and assess manual and automated processes for gaps. Prioritize critical work and communicate clearly with partners, with a telecommuting/hybrid schedule permitted within Citi policies.
Business Analytics Senior Manager
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Job Overview
Citibank, N.A. seeks a Business Analytics Senior Manager for its New York, NY location.
DUTIES: Work on fraud rules, scores, and detection strategies, risk appetite execution, POS interdiction strategies, and defect analysis. Leverage analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to the fraud policy. Collaborate with cross-functional teams to provide strategy recommendations based on data and trend analysis and implement mitigation strategies. Build effective relationships within and outside the fraud organization to help ensure successful and timely execution of key portfolio priorities. Generate regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends. Assess manual and automated processes to identify potential process gaps and opportunities. Prioritize and provide a clear line of sight to the most critical work to partners and team members. 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 Business Administration, Information Systems, Mathematics, or a related field, and five (5) years of experience in the job offered or in a related quantitative occupation implementing fraud prevention strategies within the financial services industry. Five (5) years of experience must include: Performing coding in a Big Data environment using tools including SAS and SQL and/or open-source tools including Python, Impala, and Hive; Utilizing traditional and advanced machine learning techniques and algorithms including Logistic Regression, Gradient Boosting, and Random Forests; Utilizing data visualization tools including Tableau to build dashboards and views that are leveraged to drive decisions based on data; and Using quantitative and analytic skills to derive patterns, trends, and insights, and perform risk and reward trade-off analysis. In the alternative, employer will accept a Master’s degree and three (3) years of experience. 40 hrs./wk. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #25929386. EO Employer.
Wage Range: $175,400.00 to $175,400.00
Job Family Group: Decision Management
Job Family: Business Analysis
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Time Type:
Full time------------------------------------------------------
Primary Location:
New York New York United States------------------------------------------------------
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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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:
Feb 25, 2026------------------------------------------------------
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