Fraud Model Risk Manager, Machine Learning
Affirm- Full Time
- Junior (1 to 2 years)
Candidates should possess 8+ years of experience in fraud prevention strategies and analytics for loans or credit cards, along with 3+ years of leadership experience managing fraud teams. They must demonstrate strong expertise in fraud detection, analytics, and emerging fraud trends, coupled with proficiency in SQL and Python for data analysis.
As the Senior Fraud Risk Manager, responsibilities include developing and executing fraud prevention strategies, partnering with Fraud Operations to enhance fraud policies and controls, leading and mentoring a team of fraud prevention analysts, overseeing fraud detection and investigation efforts, leveraging fraud detection tools and analytics, providing insights to senior leadership, and ensuring compliance with fraud prevention regulations and conducting risk assessments.
Provides low-interest student and personal loans
Earnest provides financial services focused on student loan refinancing, private student loans, and personal loans. The company uses advanced data analysis and underwriting software to assess each client's financial situation, allowing them to offer low-interest rates tailored to individual needs. Clients can select flexible repayment plans that suit their financial circumstances, making it easier to manage their debt. Unlike many competitors, Earnest continuously adjusts its rates based on market conditions to remain competitive. The goal of Earnest is to help financially responsible individuals effectively manage their educational and personal debt.