The object of research in the work is the processes of anti-risk management of projects for the development of providers of housing and utility services (PHUS). Particular attention is required to limit the management of the activities of the PHUS, related to the specifics of the housing and utility services sector. They have a significant impact on the need for the PHUS to constantly adjust the direction of efforts. They force companies to constantly monitor the progress of their projects and redirect resources. The priority should be development projects with the highest and fastest financial results with minimal risks. An essential lever for improving the effectiveness of anti-risk management in the projects for the development of PHUS is the possibility of adjusting the priorities for the implementation of these projects as much as possible in real time. This study developed a method of anti-risk management of development projects for housing and utility services providers, which consists in integrating such approaches into a single process, such as the implementation of management automation and decision-making algorithms. As well as the implementation of a process approach in risk management and decision making; implementation of benchmarking; and building a dynamic organizational structure for managing development projects The scheme of the method of anti-risk management of projects for the development of housing and utility services providers includes the following steps: – formation of a register of projects for the development of providers of housing and utility services; – identification of limitations of projects for the development of providers of housing and utility services; – implementation of automation of management and algorithmization of decision-making in the management of projects for the PHUS development; – application of a process approach in risk management and decision-making in the management of projects for the PHUS development; – building a dynamic organizational structure for managing development projects; – implementation of benchmarking in the management of projects for the PHUS development; – adjusting the PHUS priorities for the implementation of development projects in real time; – increasing the effectiveness of anti-risk management by directing the main resources to the PHUS development projects with minimal risks and the most significant economic result. The integration of all the above blocks into the anti-risk management of PHUS development projects makes it possible to increase the efficiency of managing these projects by directing the main resources to them with minimal risks and the most significant economic result. This, in turn, will improve the performance of providers of housing and utility services in terms of increasing income and reducing costs.

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Motivation: One of the main concepts in project management is the concept of "team" in the project, and in project management-the human resources management of the project, which includes the processes of planning, forming and creating a team, its development and support activities, transformation or disbandment of the team. Despite the great attention paid to the formation of project management teams, existing studies do not fully highlight the specifics and features of crew operations. Criteria for the quantitative optimization of the ship's crew should be consistent with the main objectives of the project. Novelty: The research paper proposes an approach that allows optimizing the quantitative composition of the crew of a ship by more accurately assessing the level of project risks and costs associated with the maintenance of ship equipment. The practical application of this approach will optimize the quantitative composition of the ship's crew, which will both satisfy the needs of managing the technical equipment and minimize the risks and costs of the shipowner. Methodology and Methods: Risk management tools were used to achieve the objective and test the hypotheses suggested in the research, namely: methodology for estimating the net present value of the project; the method of estimating internal rate of return for the project; the method of estimating the return on investment in the project; the method of estimation for the period of return on investment costs in the project; the method of estimating the discounted payback period for the project, as well as the tools of simulation modelling (Monte Carlo simulation method). The method of identification and grouping in the process of classification of project risks in the sphere of marine transportation, methods of systematization, grouping and logical generalization were also applied for systematization of information, drawing conclusions and making scientific suggestions in the research.