In this paper computational techniques to process financial data and to assess management efficiency are proposed. Personnel evaluation process is formalized on the basis of the proposed key performance indicators based on portfolio efficiency criteria. Personnel efficiency is assessed via the excessive portfolio return over average market performance indicators per unit of risk. Alternative measures to evaluate risk are formulated. The proposed downside risk measures are implemented into portfolio performance evaluation criteria. Comparative analysis of the introduced portfolio performance evaluation criteria is held. Case study via the Trading Organiser 'Moscow Exchange' is performed. The experimental results prove that the introduced portfolio performance evaluation criteria yield better results than the coefficients which do not take into account downside risk measures. It is concluded that the proposed modified 'reward-to-variability' ratio can be incorporated into the system of key performance indicators for assessing financial management efficiency. #CSOC1120.

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