Quantitative Researcher - Systematic Credit

About the Role

Quantitative Researcher for a new team focused on systematic corporate bond and credit derivatives strategies in New York or Chicago.

Responsibilities

• Independently conduct quantitative research, adopting a rigorous approach and using statistical and structural models.
• Contribute to all aspects of the research and production process, including implementation of fitting tools; data organization; generation of alphas, risk and transaction cost models; P&L attribution, etc.
• Proactively search for and prioritize new ideas and datasets for alpha potential.
• Contribute to continuous improvement of the investment process and infrastructure in collaboration with the portfolio managers, developers, and traders on the team.

Requirements

• PhD or Master’s degree in Economics, Finance, Statistics, Mathematics, Physics, or other quantitative discipline.
• 2+ years of experience developing statistical and fundamental alpha signals, risk factors for single name credit, equities, or options.
• Demonstrated ability to conduct research utilizing large data sets.
• Experience with FICC, credit, or option pricing models is preferred.
• Experience with numerical optimization methods is a plus.
• Solid programming skills: understanding of object-oriented programming and CI/CD framework. Proficiency in Python, including packages used for data research and best practices of coding style.
• Strong communication skills.
• Willingness to take ownership of work, working both independently and within a team.

Pay

The annual base salary range for this role is $150,000–$200,000 (USD), which does not include discretionary bonus compensation or a comprehensive benefits package. Actual compensation may vary based on geographic location, work experience, education, and skill level.