Credit Risk Analytics Specialist

Jobtailor; Kansas; On-site; USD 65,000 - 90,000; Full time

Job summary

Jobtailor in Kansas seeks a quantitative credit analytics professional to drive segmentation, modeling, and policy optimization for wireless/telecom risk. You will work with Credit Risk Management and cross‑functional teams to deploy strategies and deliver actionable insights from large datasets.

Ideal candidates have 2–4 years in qualitative analytics, a finance/economics/math background, and strong SAS/SQL/Python/R skills. This role is full‑time, on-site in the United States.

Qualifications

• 2-4 years experience in a qualitative analytical function.
• Bachelor's degree in finance, economics, mathematics, stats or related field.
• Proficiency in SAS or other statistical/analytical languages.
• Strong Excel, Word and PowerPoint skills.
• Excellent written and verbal communication; strong organization.
• Time management and project management awareness.
• Must be legally allowed to work in the United States; 18+.
• Graduate degree is a plus; basic SQL/Python/R knowledge helpful.
• Prior consumer risk management experience a plus; telecom/wireless exposure a plus.

Responsibilities

• Utilize segmentation techniques to identify new opportunities.
• Extract, load and transform data from multiple sources for analysis.
• Develop predictive financial and analytical models using statistical methods.
• Analyze data and products from external vendors for insights.
• Collaborate with Credit Risk Management and other teams on deployment and tracking.
• Deliver outputs within project timelines and deadlines.
• Identify credit segmentation opportunities to improve decision processes.

Skills

Statistical Analysis

Trend Analysis

Regression Analysis

Data Transformation

Qualitative Analysis

Quantitative Analysis

SQL Proficiency

Python Proficiency

R Proficiency

Excel Proficiency

Education

Bachelor's Degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree

Graduate degree in a quantitative discipline a plus

Tools

SAS

Excel

Word

PowerPoint

Statistical Software Packages

Job description

Jobtailor in Kansas seeks a quantitative credit analytics professional to drive segmentation, modeling, and policy optimization for wireless/telecom risk. You will work with Credit Risk Management and cross‑functional teams to deploy strategies and deliver actionable insights from large datasets.

Ideal candidates have 2–4 years in qualitative analytics, a finance/economics/math background, and strong SAS/SQL/Python/R skills. This role is full‑time, on-site in the United States.