Enova
Small Business Collections Representative (Hybrid)
Denver, CO · Full-time
Work authorization requiredDetected 12 days ago
ExpressMachine LearningSalesforceNegotiationCommunicationCollaboration
About the role
- As a Collections Representative, you will have the opportunity to ensure positive interactions with our small business customers when they have encountered a hardship.
Responsibilities
- Maintain accurate, up-to-date information of customer interactions
- The drive to exceed your goals in a fast-paced, metric driven environment
- This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
- We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks-in order to create accessible credit for millions.
Requirements
- Ability to balance multiple priorities, independently problem solve, and effectively handle changing situations
- Computer proficiency and accurate data entry skills required
- Knowledge of FDCPA and FCRA practices
Nice to have
- Prior experience using Salesforce is a plus
Compensation
- The budgeted hourly rate for this position is $25.00.
- Additional compensation for this role may include commission or bonus.
Benefits
- Health, dental, and vision insurance including mental health benefits
- PTO & paid holidays off
- Paid parental leave
- Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform.
Company info
- Handle inbound and outbounds calls to customers regarding overdue payments
- Find solutions for customers who are past due on their account to get them back up to date
- Follow up with customers via email and answer any questions that they may have
Visa & Work Authorization
- However, we are not able to sponsor visas or take over sponsorship at this time. #B I-H ybrid #LI-Hybrid
This listing is sourced directly from Enova's careers page and normalized into a canonical job model.