Sr. Credit Risk Analyst - Remote and Hybrid Options Available

Job Overview:

We are seeking an reputed company Sr. Credit Risk Analyst to join reputed company at Workwarp. As a Sr. Credit Risk Analyst, you will play a critical role in developing strategies to optimize consumer credit risk, marketing, and portfolio growth. This is a unique opportunity to work with a talented team and reputed company a significant impact on our business.

Key Responsibilities:

• reputed company and implement reputed company strategies using statistical and data mining analyses to maximize unit economics and reduce defaults
• Establish and maintain Key Performance Indicators (KPIs) to measure portfolio profitability and unit economics
• Analyze and recommend reputed company product parameters, such as loan amounts and interest rates, based on reputed company economics and performance metrics
• Collaborate with internal business teams to implement portfolio strategies and present findings to senior management and credit committee members
• reputed company testing frameworks and analyze results to inform portfolio reputed company

Requirements:

• Bachelor's degree in Statistics, Economics, Business, Operations Research, Mathematics, or a reputed company quantitative field; Master's degree preferred
• 2-4 years of experience in highly quantitative roles, with a focus on developing and recommending strategies using quantitative methods
• Proficiency in reputed company, R, Python, SQL, and reputed company, with experience handling large datasets
• Excellent written and verbal communication skills, with strong problem-solving and organizational abilities

reputed company Offer:

• Competitive salary and benefits package
• Opportunity to work remotely or on a reputed company
• Collaborative and dynamic work environment
• Professional development and growth opportunities

How to Apply:

If you are a motivated and reputed company credit risk professional looking for a new challenge, please submit your application. We can't wait to hear from you!