Fraud Analytics Lead: Rules & ML Scoring Strategy

Citi; Jacksonville (FL); On-site; USD 141,000 - 212,000; Full time

Job summary

Citi in Jacksonville, FL seeks a seasoned Fraud Analytics & Modeling professional to develop and deploy proactive fraud rules and ML-based scoring. You will monitor performance, optimize detection strategies, and partner with cross-functional teams to mitigate new fraud schemes and safeguard assets.

Leverage big data tools (SAS/SQL/Python/Impala/Hive), build transparent visual insights with Tableau, and mentor juniors while communicating findings to senior leadership.

Qualifications

• 8+ years in fraud or risk management or analytics.
• Experience with Big Data and multiple analytics tools.
• Strong data visualization and storytelling capabilities.

Responsibilities

• Own fraud rules, scores, and detection strategies across fraud lifecycle.
• Document data requirements and perform data cleaning and EDA.
• Identify patterns and translate insights for decision making.
• Lead rule writing to drive loss avoidance and customer impact.
• Collaborate with cross-functional teams to balance risk and return.

Skills

Fraud analytics

Big Data analytics

SQL

Python

Tableau

Education

Bachelor's Degree in statistics / mathematics / economics

Tools

SAS

SQL

Python

Impala

Hive

Job description

Citi in Jacksonville, FL seeks a seasoned Fraud Analytics & Modeling professional to develop and deploy proactive fraud rules and ML-based scoring. You will monitor performance, optimize detection strategies, and partner with cross-functional teams to mitigate new fraud schemes and safeguard assets.

Leverage big data tools (SAS/SQL/Python/Impala/Hive), build transparent visual insights with Tableau, and mentor juniors while communicating findings to senior leadership.