Hybrid Loan Analytics Data Scientist - Predictive Modeling

State Employees' Credit Union; Wake Forest (NC); Hybrid; USD 60,000 - 90,000; Full time

Job summary

State Employees' Credit Union seeks an Associate Credit Review Data Scientist to collaborate with senior data scientists on predictive models for loan portfolios. You will extract data from core systems and warehouses, build dashboards, and provide data-driven insights to support decisions.

Ideal candidates hold a four-year degree, 0–2 years of experience, and familiarity with CRISP-DM, SQL, Python, and BI tools such as WebFOCUS, Power BI, Tableau, and SSRS.

Qualifications

• Four-year degree or equivalent required; strong analytics focus.
• Experience with CRISP-DM and data mining processes preferred.
• Proficiency in SQL; programming in Python or R is advantageous.
• Excellent written and verbal communication across stakeholders.

Responsibilities

• Develop machine learning models and forecasts for loan portfolios.
• Extract data from core systems and warehouses to build dashboards.
• Identify data anomalies and adjust analyses accordingly.
• Prepare routine reports and support cross-functional teams.

Skills

Analytical thinking

CRISP-DM

SQL

Python

Power BI

R

Team collaboration

Education

Four-year degree

Graduate degree preferred

Tools

WebFOCUS

SSRS

Tableau

Power BI

Excel

Job description

State Employees' Credit Union seeks an Associate Credit Review Data Scientist to collaborate with senior data scientists on predictive models for loan portfolios. You will extract data from core systems and warehouses, build dashboards, and provide data-driven insights to support decisions.

Ideal candidates hold a four-year degree, 0–2 years of experience, and familiarity with CRISP-DM, SQL, Python, and BI tools such as WebFOCUS, Power BI, Tableau, and SSRS.