Fraud Risk Analytics Manager

Advance America, Cash Advance Centers, Inc.; Greenville (SC); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive wages

401(k) Savings Plan with Company Match

Company Paid Holidays

Tuition Reimbursement

Business Casual Environment

Rewards & Recognition Program

Employee Assistance Program

Office in downtown Greenville withfree

Job summary

Purpose Financial, Inc. is seeking a hands-on fraud analytics leader to own the development and deployment of detection models across application, funding, payments, and servicing channels.

You will balance loss reduction with customer experience and cost while mentoring a team of analysts and data scientists. The role reports to the Director, Data Science and Credit Risk, and involves partnering with Credit Risk and Compliance to ensure model risk management and regulatory alignment.

Qualifications

• Bachelor's degree in a quantitative field required; master's or PhD preferred.
• 5+ years fraud analytics/risk data science for Manager; 8+ years for Senior Manager with people leadership.
• Experience in consumer lending fintech or payments is a plus.

Responsibilities

• Own the development, implementation, and monitoring of fraud detection models across the customer lifecycle.
• Design and manage fraud decision strategies, including rules, model cutoffs, identity verification, and review queues.
• Partner with Credit Risk to align error classifications and loss reporting with model outputs.
• Monitor fraud KPIs and build dashboards; lead root-cause analysis on attacks and loss spikes.
• Identify evolving threats and new fraud vectors; lead experiments to optimize decisions.
• Collaborate with Tech to deploy models and ensure robust data pipelines and feature engineering.

Skills

SQL

Python

Leadership

Fraud analytics

Risk data science

Model development

Education

Bachelor's degree in a quantitative field

Master's degree or PhD in a quantitative field preferred

Tools

Git

Job description

Purpose Financial, Inc. is seeking a hands-on fraud analytics leader to own the development and deployment of detection models across application, funding, payments, and servicing channels.

You will balance loss reduction with customer experience and cost while mentoring a team of analysts and data scientists. The role reports to the Director, Data Science and Credit Risk, and involves partnering with Credit Risk and Compliance to ensure model risk management and regulatory alignment.