Description

Build and maintain stress testing models and loan loss analysis tools for federal programs. You will bridge data science and engineering to develop robust statistical models and generate comprehensive documentation.

Responsibilities

• Develop Python-based stress testing models for federal banking programs.
• Analyze loan loss over the life of a loan using statistical methods.
• Generate documentation detailing model development and logic.
• Collaborate with development teams to integrate data science solutions.
• Maintain and optimize existing SQL queries and data pipelines.

Required Skills

• Strong proficiency in Python, specifically Pandas and NumPy.
• Deep experience with SQL for data extraction and manipulation.
• Background in statistics and mathematics applied to data science.
• Experience in the finance or banking sector is highly valued.
• Ability to write clear technical documentation.
• Minimum 5 years of professional experience.

Preferred Skills

• Knowledge of Oracle databases and Big Data technologies.
• Familiarity with Java, Angular, or Hadoop.

Key Skills

Education

Any Graduate