Infusion

Infusion

Credit Risk Solutions Support

Remote (United States)

Sponsorship not specified$60k-$65kDetected 26 days ago
ExcelAR/VRLeadershipCommunicationTime ManagementMicrosoft Office

About the role

  • This role assists the management team with both recurring and time-sensitive tasks, including data entry, tracking outstanding items, coordinating documentation, and supporting the preparation of review materials and reports.

Responsibilities

  • The Credit Risk Solutions Support role is a key position within OptimaFI's loan review operations, supporting the full engagement lifecycle, from proposal and renewal processes through post-review reporting.
  • The chance to shape a culture that helps community financial institutions - and your own career - thrive.

Requirements

  • If you're motivated by results, not title, and you know how to make a small team feel 10X bigger, let's talk.

Nice to have

  • About OptimaFI OptimaFI helps community financial institutions (CFIs) - credit unions and banks profitably grow using a combination of proven data assets, expert consulting, and modern cloud software.
  • We move with purpose, invest in what works, and use automation and AI to stay lean and effective.
  • The position plays an important role in maintaining organized workflows and ensuring efficient execution of loan review operations.
  • This role also offers opportunities for growth and expanded responsibilities within OptimaFI's loan review function.

Compensation

  • The annual base salary range for this role is $60,000 - $65,000 USD.
  • This range represents base salary only.

Benefits

  • Competitive salary plus profit sharing.
  • Medical, dental and vision coverage plus Flexible PTO, 401(k) match, and WFH stipend.
  • In addition to base salary, this role may be eligible for bonus, profit sharing, and other incentives and benefits.

Company info

  • We are committed to equitable and transparent compensation practices.

This listing is sourced directly from Infusion's careers page and normalized into a canonical job model.