Posted:
8/7/2024, 5:00:00 PM
Location(s):
Tampa, Florida, United States ⋅ Tucson, Arizona, United States ⋅ Texas, United States ⋅ Irving, Texas, United States ⋅ Jacksonville, Florida, United States ⋅ O'Fallon, Missouri, United States ⋅ Florence, Kentucky, United States ⋅ South Dakota, United States ⋅ Missouri, United States ⋅ Arizona, United States ⋅ Tennessee, United States ⋅ Meridian, Idaho, United States ⋅ O’Fallon, Missouri, United States ⋅ Florida, United States ⋅ Wilmington, Delaware, United States ⋅ Kentucky, United States ⋅ Sioux Falls, South Dakota, United States ⋅ Johnson City, Tennessee, United States ⋅ Idaho, United States ⋅ Delaware, United States
Experience Level(s):
Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
The Specialized Analytics Sr. Mgr accomplishes results through the management of professional team(s) and department(s). Integrates subject matter and industry expertise within a defined area. Contributes to standards around which others will operate. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Requires basic commercial awareness. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Has responsibility for volume, quality, timeliness and delivery of end results of an area. May have responsibility for planning, budgeting and policy formulation within area of expertise. Involved in short-term planning resource planning. The team is Internal Fraud Intelligence that focuses on conducting data analysis to identify fraud risk and trends, fraud scenario design and optimization, analytical process and data quality management, stakeholder management and reporting.
Responsibilities:
Lead internal fraud analytics in NAM, engage and collaborate with business, fraud and control stakeholders, use advanced analytics to proactively identify fraud risk and trends.
Own the knowledge and quality of internal fraud detection data in NAM. Collaborate with technology to implement the right analytics platform, data structure, pipeline and transformation in Citi Bigdata ecosystem.
Extracts knowledge and insights from data in order to design complex internal fraud detection solution through a range of data preparation, modeling, and visualization techniques, including predictive analysis, pattern recognition
and Machine Learning. Key skills include association rule learning, cluster analysis, anomaly detection, data analysis and visualization (e.g., PowerBI, QIik, Tableau), object-oriented programming (Python, Spark, SAS).
Be the regional analytics point person for stakeholder management and communication, including regional assurance review such as Internal/ External Audit review, Compliance Assurance review.
Support Internal Fraud Governance team to design and execute analytical process such as change management.
Qualifications:
Bachelor's Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline. Master's Degree or PhD preferred.
5-8 years of experience in data analytics, modeling and analytical project implementation.
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 tradeoff analysis.
Good written and verbal communication skills, with ability to connect analytics to business impacts; comfortable presenting to peers and management.
Extremely detail-oriented; intellectual curiosity
Provide analytic thought leadership
Manage project planning effectively
Creative problem solving skills
Deep understanding of data management such as data pipeline and data quality; Stakeholder management including internal audit, regulators.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
------------------------------------------------------
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:
$125,600.00 - $188,400.00
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.
------------------------------------------------------
Anticipated Posting Close Date:
Aug 15, 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.
View the "EEO is the Law" poster. View the EEO is the Law Supplement.
View the EEO Policy Statement.
View the Pay Transparency Posting
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