Market Risk Intern

FHLBank Pittsburgh offers 12-week paid internships as a part of its talent acquisition strategy. Talented students are provided with the opportunity to gain hands-on work experience, explore their career interests and broaden their professional network while helping FHLBank Pittsburgh achieve its business objectives and strategic goals. The program is designed to offer a substantive experience by exposing talented students to the banking industry and our culture of development through clearly defined responsibilities and/or projects.

To promote collaboration and relationship building, FHLBank Pittsburgh operates in a hybrid model with employees in the office three days per week and remote two days per week.

The Market Risk Intern will assist with the following:

• Asset-Liability Management (ALM) Support: Assist with a variety of ALM activities such as preparing and validating key modeling inputs and assumptions, supporting earnings and pricing/valuation processes, performing backtesting and analysis, and contributing to financial reporting and presentation materials for risk oversight.
• Data Reconciliation: Compare and reconcile trade details, financial data, risk metrics and other key figures across multiple systems and reporting platforms to ensure accuracy and consistency.
• Reporting & Visualization: Create sample dashboards for daily and monthly market risk reports; help convert reporting outputs into clear, presentation-ready formats.
• SharePoint Development: Support migration and design of the Market Risk home page to improve usability and content organization.
• Code & Repository Management: Organize code repositories for analytics and automation scripts to streamline development and version control.

Required Experience

• Students must be enrolled in an accredited four-year institution and have completed at least their sophomore year with a minimum GPA of 3.0
• Students must be pursuing a relevant field of study (Finance, Economics, Data Analytics or related) and have the ability to work, at a minimum, May/June through August of the internship year
• Strong analytical and problem-solving skills
• Advanced proficiency in Excel, including pivot tables, complex formulas, and data analysis tools; experience with Python or automation is a plus
• Detail-oriented and able to work independently
• Interest in financial markets and programming (Python, SAS)