Associate Credit Review Data Scientist

State Employees' Credit Union • Wake Forest, NC

1d • Hybrid

About The Position

The Associate Credit Review Data Scientist works with senior members of the department to develop, implement, and monitor predictive models across loan portfolios. The position also develops complex reports and dashboards using multiple data sources and software tools to analyze information and generate data-driven insights and recommendations.

This is a hybrid role, with work from home permitted as determined by departmental needs. The work takes place in a typical office environment, with background noise from employees, copy machines, and telephones.

Requirements

• A four-year degree or high school diploma or equivalent.
• 0–2 years of experience.
• High technical aptitude and a passion for analytics, data, and problem solving.
• Ability to define complex business problems and develop analyses that produce tangible insights and solutions.
• Ability to communicate effectively orally and in writing with external third parties, such as vendors and regulators, and with people at multiple levels within the organization.
• Ability to collaborate with others to define analytical strategies and solutions while independently executing deliverables.
• Understanding of the fundamentals of the Cross Industry Standard Process for Data Mining (CRISP-DM) and ability to apply it to analytics projects.

Nice To Haves

• A four-year or graduate degree in analytics, computer science, business, statistics, or mathematics.
• 1–2 years of direct experience.
• Experience developing reports and dashboards using ibi WebFocus, Microsoft Power BI, Microsoft Report Builder/SSRS, Tableau, or other BI and reporting applications.
• Strong proficiency with Microsoft Office applications, specifically Excel.
• Experience with SQL and R, Python, SAS, or other data analysis tools or programming languages.

Responsibilities

• Work with Senior Data Scientists to develop machine learning models and forecasts for loan portfolio areas, including delinquency, default, and new loan origination, using validated statistical and machine learning methodologies.
• Perform routine data extracts from core systems, including mainframe and distributed databases, and the enterprise data warehouse; use the data to produce reports, advanced analyses, and dashboards.
• Assist Senior Data Scientists in identifying erroneous or outlier data using operational knowledge, and modify reports and analyses as needed to account for data anomalies.
• Assist operations departments with routine report writing, data validation, and analysis.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: High school or GED