Senior Fraud Risk & ML Analytics Lead

Republic Finance; Plano (TX); On-site; USD 90,000 - 150,000; Full time

Job summary

Republic Finance seeks a data-driven fraud risk professional to design and manage fraud risk and digital portfolio strategies. You will build dashboards, monitor KPIs, and collaborate with Data Science to develop and validate ML models for fraud detection.

The role requires strong analytics, SQL, SAS, and Tableau experience, with a focus on reducing losses and maximizing portfolio performance. You will investigate suspected fraud, ensure policy compliance, and communicate insights to executives.

Qualifications

• Bachelor’s degree in Statistics, Data Science, Business Analytics, or related field with 3 years of relevant experience.
• Experience with R to build decision trees and regression models; experience in segmentation and marketing strategy is required.
• Proficiency using SAS to analyze demographic information and credit history for portfolio optimization.
• SQL data extraction and screening for risk judgment and management capacity.
• Experience developing interactive BI dashboards using Tableau.

Responsibilities

• Develop and manage fraud risk and digital portfolio strategies with KPI design and monitoring.
• Build and monitor reporting infrastructure, dashboards, and analytics for fraud trends and portfolio performance.
• Analyze financial impact of fraud for profitability and risk tolerance.
• Investigate suspected fraud with branch collaboration and guidance on reviews.
• Ensure fraud policies comply with federal, state, and regulatory requirements.
• Communicate fraud risks and performance trends to stakeholders with actionable insights.
• Collaborate across units to assess upstream/downstream effects of strategies.
• Partner with Data Science to design and validate ML models for fraud detection.
• Design fraud detection strategies across products using ML, tools, and internal data.
• Develop advanced detection methodologies using graph data, segmentation, and statistics.
• Analyze and classify default events to distinguish fraud types and non-fraud behavior.
• Develop and deploy automated scripts to screen applications in real time.

Skills

Data analysis

Risk analysis

Statistical modeling

Education

Bachelor’s degree in Statistics/Data Science/Business Analytics or related

Tools

R

SAS

SQL

Tableau

Job description

Republic Finance seeks a data-driven fraud risk professional to design and manage fraud risk and digital portfolio strategies. You will build dashboards, monitor KPIs, and collaborate with Data Science to develop and validate ML models for fraud detection.

The role requires strong analytics, SQL, SAS, and Tableau experience, with a focus on reducing losses and maximizing portfolio performance. You will investigate suspected fraud, ensure policy compliance, and communicate insights to executives.