Borys Haltsov

• Design and implement portfolio management solution to calculate positions, performance, and risk versus benchmarks. • Review code to maintain high standards and mentor team members in best practices. • Manage and plan team activities based on client requirements, ensuring timely delivery. • Engage with the client to discuss requirements and propose optimal solutions, IT consultancy. • Conduct regular demos to demonstrate new features and gather user feedback. • Client support and maintenance.

• Development of cloud-based risk platform for market and credit risk, regulatory capital, and limits. • Build and optimize modules and services for the enterprise-level platform. • Developing and introducing within the enterprise solution Python based representation of CompatibL Finance Platform. • Write Python scripts for processing financial instruments. • Conduct code review to ensure quality and maintainability. • Conduct demos and work with client on achieving business needs, IT consultancy.

• Design and implement internal modules for Time Series Data Management using MongoDB, ensuring efficient data storage. • Integrate Amazon Lambda to optimize application performance and scalability within the project. • Conduct code reviews, ensuring adherence to best practices, while mentoring team members to enhance their technical skills. • Collaborate with cross-functional teams to support the development and integration of the API for seamless interaction with the Bloomberg Financial Data provider.

• Implementation of Trading and Risk Management System based on machine learning. • Enforcement and establishment of quality assurance processes, including automated testing, code reviews, and continuous integration. • Set up version control systems and branching strategies to manage codebase efficiently. • Debug and optimize code to improve performance and reliability. • Implementation of high-load calculations using Amazon Lambda.

• Develop and implement algorithms for model validation of financial instruments, ensuring accurate validation within the system. • Integrate the developed algorithms into the model validation engine. • Write and maintain unit tests using xUnit, NUnit, Approvals frameworks to ensure high-quality, reliable code and facilitate continuous testing. • Collaborate with team members to identify and resolve issues, improving the performance and functionality of the model validation engine.