Credit Specialist

Client Resources, Inc.; Omaha (NE); On-site; USD 63,000 - 93,000; Full time

Job summary

A staffing company in Omaha is seeking a Credit Risk and Analytics professional with an MBA and over 8 years of experience. This key role involves performing credit risk assessments, utilizing analytics tools like Python or SAS, and developing strategies to combat fraud. Candidates should possess strong analytical skills and knowledge of credit processes. Competitive compensation ranges from $63,000 to $93,000 annually.

Qualifications

• 8+ years of experience in credit and fraud risk strategies.
• Strong knowledge of underwriting, credit risk, credit applications and decision processes.
• Proficiency in Python or SAS, statistical modeling, and data analysis.

Responsibilities

• Perform credit risk underwriting assessments.
• Identify and analyze application fraud opportunities.
• Utilize Python or SAS and other analytics tools to gather data, build models, and develop algorithms.
• Translate business requirements into actionable credit and fraud risk strategies.
• Collaborate with large credit institutions, banking and fraud entities, and credit-card businesses.

Skills

Credit risk assessment

Analytical skills

Python

SAS

Data analysis

Education

MBA degree

Tools

Statistical modeling

Job description

Partnering with Omaha organizations on Information Technology Staffing

Location: On-site, Omaha, NE

Employment Type: Full-time

Seniority Level: Mid‑Senior level

Job Function: Finance; Industries: Technology, Information, and Media

Direct Hire

Role Overview

This Credit Risk and Analytics role blends underwriting, credit risk, and fraud prevention with technical analytics skills, delivering data‑driven decisions in a hands‑on environment.

Responsibilities

• Perform credit risk underwriting assessments.
• Identify and analyze application fraud opportunities.
• Utilize Python or SAS and other analytics tools to gather data, build models, and develop algorithms.
• Translate business requirements into actionable credit and fraud risk strategies.
• Collaborate with large credit institutions, banking and fraud entities, and credit‑card businesses.

Qualifications

• MBA degree.
• 8+ years of experience in credit and fraud risk strategies.
• Strong knowledge of underwriting, credit risk, credit applications and decision processes.
• Proficiency in Python or SAS, statistical modeling, and data analysis.

Compensation

Annual salary range: $63,000 – $93,000