This study exploits a quasi-random assignment of clients to loan officers using a unique database and survey from a large microfinance bank in Nigeria to show that opposite-sex preferences affect credit demand and supply. We find that clients matched to loan officers of the opposite gender are more likely to receive credit and are more likely to return for an additional loan with the credit lender