The insurance linked securities (ILS) market is an increasingly important alternative asset class for which risk and return analysis differs from other asset classes. Measures of portfolio risk and return for an ILS portfolio are based on the expected losses and expected excess returns over the risk free rate. Multiple criteria decision making (MCDM) has found successful applications to many real world decision problems. This paper examines the application of two popular MCDM methods, Analytical Hierarchy Process (AHP) and ELECTRE III, to ILS portfolios. These methods are used to screen the securities before constructing portfolios using linear optimisation with constraints. The objective function is to minimize the portfolio expected loss for a given level of expected excess return. Upper and lower bounds are also placed on the investment in each individual ILS. The results demonstrate the benefits from applying MCDM to ILS portfolio selection.