Fraud Data Analytics Senior Analyst, Assistant Vice President

Citi • O’Fallon, UT

20h

About The Position

As part of the Internal Fraud Analytics, this role executes the fraud analytics and strategies supporting Citi’s North American internal fraud detection. This includes leveraging data to identify internal fraud opportunities, designing and implementing strategies to detect internal fraud and violation of code conduct. This role partners closely with Internal Fraud Operations, Prevention team and technology partners to align of business and technology direction in order to determine potential and existing internal fraud impacts and carry out whole cycle of implementation. Requires good analytical skills to filter, prioritize and validate potentially complex and dynamic material from multiple data sources. Excellent communication and diplomacy skills are required. Responsibilities: Leverage data and advanced analytics to derive patterns, trends and insights, and perform risk/reward trade-off analysis. Ownership and management of internal fraud rules, data sources, and evaluation of ETL, execution performance and gap analysis. Drive alignment across functional teams by interacting with data engineers, analysts, and business leaders to ensure shared understanding of data logic, and implementation specifics. Ownership of controls and governance processes, identify potential process gaps and opportunities for improving effectiveness. Generate and manage regular and ad-hoc reporting to enable effective investigation and identification of detection possibilities. Build effective relationships within and outside the internal fraud team to help ensure successful and timely execution of key portfolio priorities. Qualifications: Bachelor’s Degree required in statistics, economics, computer science, or other analytical or quantitative discipline. 3+ years in analytical field. Solid SQL skills and hands on coding experience and data structure/process understanding. Experience working with Big Data Environment Open Source (i.e. Python, Impala, Hive, etc.) tools and scripting language are preferred. Excellent exploratory analytic skills: hands-on data validation skills and business analysis acumen to derive patterns and insights, and perform risk/reward trade-off 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 Ability to multi-task and work against tight deadlines. Ability to work independently with baseline instructions/guidelines from management This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Requirements

• Bachelor’s Degree required in statistics, economics, computer science, or other analytical or quantitative discipline.
• 3+ years in analytical field.
• Solid SQL skills and hands on coding experience and data structure/process understanding.
• Excellent exploratory analytic skills: hands-on data validation skills and business analysis acumen to derive patterns and insights, and perform risk/reward trade-off 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
• Ability to multi-task and work against tight deadlines.
• Ability to work independently with baseline instructions/guidelines from management

Nice To Haves

• Experience working with Big Data Environment Open Source (i.e. Python, Impala, Hive, etc.) tools and scripting language are preferred.

Responsibilities

• Leverage data and advanced analytics to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
• Ownership and management of internal fraud rules, data sources, and evaluation of ETL, execution performance and gap analysis.
• Drive alignment across functional teams by interacting with data engineers, analysts, and business leaders to ensure shared understanding of data logic, and implementation specifics.
• Ownership of controls and governance processes, identify potential process gaps and opportunities for improving effectiveness.
• Generate and manage regular and ad-hoc reporting to enable effective investigation and identification of detection possibilities.
• Build effective relationships within and outside the internal fraud team to help ensure successful and timely execution of key portfolio priorities.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees