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
- Strong programming skills (Python required; C++ a plus)
- 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
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