Requirements
Candidates should possess a Ph.D. in Computer Science, Engineering, Applied Mathematics, or a related quantitative field, along with at least 5 years of experience applying machine learning in feedback-loop systems, robotics, autonomous decision-making, or control systems. Strong knowledge of machine learning algorithms, particularly those related to reinforcement learning, is required, as well as familiarity with dealing with uncertainty in problem statements.
Responsibilities
The Machine Learning Researcher will conduct research and develop machine learning models for real-time, closed-loop systems with feedback, design and test adaptive algorithms capable of evolving with incoming data and shifting regimes, build models that simulate or replace human decision-making in complex, uncertain systems, integrate control theory principles to improve model stability and responsiveness, collaborate with engineers to deploy research into production environments, continuously iterate and improve models based on system performance and market dynamics, and communicate findings and methodologies clearly with other researchers, engineers, and stakeholders.
Skills
Belvedere Trading
Proprietary trading firm specializing in options
About Belvedere Trading
Belvedere Trading is a proprietary trading firm located in Chicago that focuses on options trading in the financial markets. The firm uses its own technology and risk management strategies to identify and take advantage of market inefficiencies quickly. Belvedere continuously updates and improves its trading models and software to maintain a competitive edge. Unlike many of its competitors, Belvedere emphasizes a strong company culture that fosters entrepreneurship and empowerment among its team of over 200 members, which helps to keep employee turnover low. The firm's goal is to grow and adapt to the changing financial landscape while maximizing efficiency and leveraging its talented workforce.