Quantitative Researcher

Quantitative Researcher, Systematic Credit (Alpha Research) Miami, FL A leading global quantitative trading firm is hiring Quantitative Researchers to join a growing systematic credit team focused on alpha generation. This team operates at the intersection of machine learning and financial markets, developing models that drive trading decisions across intraday to medium-term horizons. Role Overview You will be responsible for researching and developing systematic trading signals within macro-driven markets, with a primary focus on credit. The role is highly research-driven, with a strong emphasis on applying machine learning techniques to uncover predictive signals and improve portfolio performance. Key Responsibilities Conduct original research to identify and develop systematic alpha signals Apply machine learning and statistical techniques to large financial datasets Collaborate closely with trading and engineering to implement strategies Analyze market behavior and refine models across multiple time horizons Contribute to the full research lifecycle from ideation through production Candidate Profile 3+ years of experience in systematic alpha research Strong background in machine learning and quantitative methods Experience working with large datasets and building predictive models Background in macro trading strategies, including credit, futures, or FX Systematic approach is essential Solid understanding of probability, statistics, and optimization Exceptional academic background; PhD strongly preferred Additional Attributes Demonstrated ability to drive independent research Strong intellectual curiosity and problem-solving mindset Track record of delivering impactful research in a production environment Location Requirements Based in Miami; candidates must have a clear motivation to relocate - Non-negotiable #J-18808-Ljbffr Selby Jennings