Senior Underwriting & Data Analytics Analyst (Remote)

Pathward, National Association; United States; Hybrid; USD 86,000 - 145,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement benefits

Life insurance

Disability benefits

Paid time off

Job summary

Pathward, National Association is hiring a data analytics professional to identify and interpret insights from diverse data sources and to support underwriting strategy within our proprietary lending platform.

You will mine large datasets, develop reports with the analytics and underwriting teams, leverage score models for underwriting and pricing, forecast performance, and collaborate with data scientists and technology partners to implement new strategies.

Qualifications

• Bachelor's degree or equivalent education.
• Typically 5+ years with bachelor's or equivalent.
• Proficiency with Microsoft Office, SAS, and SQL.

Responsibilities

• Mines and analyzes large datasets utilizing descriptive, predictive, and prescriptive analytics.
• Develops insights from historical loan performance data, identify swap-in opportunities to underwrite new customer populations, and develop credit solutions for customer base using various analytical techniques.
• Developing and refining reports working with data analytics team, underwriting, and operations team.
• Leverages custom score models for underwriting, pricing, and profitability.
• Forecasts performance and track actual performance against lending target.
• Collaborates with vendors, data science, and technology teams to ensure new strategies and models are implemented accurately and as designed.
• Creates/maintains Procedure and Program documentation.
• Conducts other ad hoc analyses as required to support team goals.
• Other duties as assigned.

Skills

SQL

SAS

Microsoft Office

Data analysis

Education

Bachelor's degree or equivalent

Tools

Python

Snowflake

Amazon S3

SageMaker

Job description

Pathward, National Association is hiring a data analytics professional to identify and interpret insights from diverse data sources and to support underwriting strategy within our proprietary lending platform.

You will mine large datasets, develop reports with the analytics and underwriting teams, leverage score models for underwriting and pricing, forecast performance, and collaborate with data scientists and technology partners to implement new strategies.