Analytics Intern - Credit Risk

Fora Financial is a technologically enabled, leading provider of flexible financing to small and medium-sized businesses. Since our inception in 2008, we have supported more than 55,000 merchants nationwide with over $4 billion of capital used for a variety of purposes, from funding everyday operating expenses to managing cash flow gaps to facilitating business expansion, and much more. Leveraging our proprietary technology, Fora Financial is able to deliver capital to our customers via a streamlined and simple process that can be completed in as little as 24 hours, compared with the weeks or even months it often takes for a business to receive a bank loan. 
 
Over the past fourteen years, Fora Financial has grown from two founders in a small Manhattan workspace to a company of nearly 150 employees with new offices in New York and Miami. Fora Financial prides itself on being a partner-centric organization, offering a customized funding approach, collaborating with our small-business customers to understand their needs in a dynamic and ever-changing economic environment. 

We are seeking a motivated and detail-oriented Summer Intern to join our Credit Risk Analytics team. In this role, you will support data-driven credit and policy decisions through data analysis, reporting, and dashboard development. This internship offers a valuable opportunity to gain hands-on experience in credit risk and business analytics within the financial services sector.

A Day in the Life of an Analytics Intern-Credit Risk:

• Collaborate with the analytics team to inform credit and policy decisions through data analysis.
• Assist in building, streamlining, and maintaining reporting dashboards.
• Retrieve, clean, and analyze data using SQL and Excel.
• Support ad hoc analytical requests and contribute to ongoing credit risk initiatives.
• Document findings and present actionable insights to the team.
• Experience in Python and R is considered a plus

Requirements:

• Student (rising Senior or graduate student) or Recent Graduate
• Major in either Math, Economics, Data Science, or Finance