Client Resources, Inc.
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
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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
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