RISK ANALYST

ProducePay is transforming the produce industry with fast flexible capital, transparency and better execution efficiency. We have three business lines, FINANCING provides capital to farmers through North and South America, INSIGHTS provides data and understanding of the produce industry and NETWORK helps produce growers find the best inputs and distributions and distributors to find the best growers to support their business.

Produce is a large and growing market. Growers and distributors cite a lack of transparency in the industry as the number one problem. Almost all farmers borrow, and 40% of them need more capital than they can find. The vast majority of growers and distributors are actively looking for new trade partners, and ProducePay is the first company to help them with this task.

ProducePay are in the middle of raising our Series C round of capita financing. Existing we are backed by venture capital firms Anterra Capital (Largest Agtech VC fund in the world), Rabo Bank (largest Food & Agricultural bank in the world), Coventure and Social Leverage. We are located in the financial district in downtown Los Angeles.

•  Video overview - https://www.youtube.com/watch?v=-m4cLc7zAOI&t=6s

THE ROLE

You will do analytical projects to help improve our risk management. You will be an integral part of our Risk team working alongside the CRO. This is an exciting opportunity to join an analytical, data-centric team at a fast growing FinTech company. You will partner with colleagues from Capital Markets, Finance, Product and Data Services to help drive insight and develop analysis that benefit ProducePay and its investor base. Most importantly, you will see your insights have an immediate, tangible impact every day in a well-funded and rapidly growing company.

Examples of the kind of projects you might do include:

• Regression analysis to find the most relevant variables that help to predict defaults. Likely through logistic regression using statistical software like R, Stata, SPSS, etc.
• Coefficient analysis of regression to determine the significance of the variables and their individual contribution
• Back testing of the model found
• Building different expected loss models for the portfolio
• Perform credit analysis of clients, financial statement analysis, and calculating financial ratios to determine credit worthiness
• Cross reference financial docs looking for potential risk factors
• Build exposure reports and risk analysis reports
• Maintain internal and external risk databases updated with accurate and reliable information
• Proactively examine and review transaction documentation for suspicious activity, possible fraud or credit risk

THE CANDIDATE

This is ideal for someone who is data oriented, hardworking, enjoys problem-solving, and wants to roll up his/her sleeves and get into the details. Qualifications we would like to include:

• Experience working in statistical software such as R, Stata, SPSS or Matlab,
• Working towards (or completed) a Master or PHD degree in Engineering, Mathematics, Statistics or similar quantitative degrees
• Understanding of business, financial, and accounting concepts, ideally in a financial services or risk management context
• Submit transcripts. Please include GPA on summarizes