Senior Fraud Analytics & Strategy Analyst

Citi; Jacksonville (FL); On-site; GBP 65,000 - 98,000; Full time

Job summary

Citi is seeking a Fraud Analytics, Modeling & Intelligence professional to leverage data for identifying fraud trends and designing strategies to prevent and mitigate fraud across the lifecycle. The role partners with Fraud Policy and Operations to align business and technology directions and determine potential fraud impacts.

The incumbent will own fraud rules, risk scoring, and detection strategies while collaborating with cross-functional teams to implement mitigation strategies and monitor

Qualifications

• Bachelor’s Degree required in statistics, mathematics, physics, economics, or other analytical or quantitative discipline.
• 3+ years in relevant field.
• Experience with Big Data environments and coding in SAS/SQL and open source tools (Python, Impala, Hive).
• Proficiency in traditional and advanced machine learning techniques and algorithms (Logistic Regression, Gradient Boosting, Random Forests).
• Excellent quantitative and analytic skills with ability to derive patterns and insights.

Responsibilities

• Leverage data and analytics to derive patterns and insights, and perform risk/reward trade-off analysis.
• Own and manage fraud rules, scores, and detection strategies; execute risk appetite and interdiction strategies.
• Collaborate with cross-functional teams to recommend strategies based on data and trends; implement mitigation strategies.
• Build relationships to ensure timely execution of portfolio priorities within and outside Fraud.
• Identify process gaps and improve controls and governance.

Skills

Big Data

SQL

Python

SAS

Tableau

Education

Bachelor’s Degree in analytics/quantitative field

Tools

SAS

SQL

Python

Tableau

Impala/Hive

Job description

Citi is seeking a Fraud Analytics, Modeling & Intelligence professional to leverage data for identifying fraud trends and designing strategies to prevent and mitigate fraud across the lifecycle. The role partners with Fraud Policy and Operations to align business and technology directions and determine potential fraud impacts.

The incumbent will own fraud rules, risk scoring, and detection strategies while collaborating with cross-functional teams to implement mitigation strategies and monitor