Collections/Member Solutions Specialist

Community First Credit Union
Neenah, WI, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Microsoft Office Productivity Software Web Applications Temenos

Job description

  • Provide outstanding, helpful service in every member interaction; display sensitivity and proactively seek alternatives to assist members
  • Contact members by telephone and through written communication, and occasionally in-person interactions
  • Demonstrate exceptional listening and communication skills; respond effectively to deescalate and resolve challenging interactions
  • Utilize your ability to prioritize and attention to detail by ensuring our member contact is timely and well-documented
  • Partner with team members across the credit union to create, propose, and implement solutions for members, and ensure resolutions are appropriate, timely, and in compliance with credit union policies and regulations.

Requirements

Do you have experience in Productivity software?, Do you have a High school diploma or GED?, * A high school diploma and some secondary education or experience in a related field

  • Two+ years of experience in collections, lending, or a related field
  • Knowledge of the Wisconsin Consumer Act, Fair Debt Collection Practices, and Fair Credit Reporting Act is a plus
  • Familiarity with Microsoft Office Suite, as well as web-based software and financial services platforms; experience with Temenos is a plus
  • Proven verbal and written communication skills
  • Effective problem solving abilities
  • Strong data analysis skills

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:29 min

Understanding the various dimensions of workplace diversity

Ixchel Ruiz · LIVE

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · WWC 2023

2:12 min

Empowering enterprise engineering through open source program offices

Cédric Gégout Cédric Gégout +4 · WWC Europe 2026

2:36 min

Structuring organizational governance for responsible AI initiatives

Rebekka Weiss Rebekka Weiss +1 · WWC 2025

2:36 min

Integrating business experts and conceptualizing analytical use cases

Stefan Donsa Stefan Donsa +1 · LIVE

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

Videos

See all

Related articles

See all