Accurately assessing risk is key to providing appropriately priced loans to rural producers. This paper examines non-parametric techniques for risk scoring to avoid the erroneous rejection of credit-worthy loan applicants. Both parametric and non-parametric techniques were tested against simulated data and then evaluated on microfinance loan applicants in Peru. Because non-parametric techniques impose fewer modeling assumptions, they are able to better predict default.