Quantitative Researcher - Systematic Credit

Point72; Chicago (IL); On-site; USD 150,000 - 200,000; Full time

Job summary

Point72 is hiring a Quantitative Researcher to build systematic corporate bond and credit derivatives strategies. You will conduct rigorous research, develop models, and implement tooling for data, alphas, risk, and P&L attribution.

You will prioritize new ideas, collaborate with PMs, developers and traders, and advance the investment process with robust, data-driven approaches. A PhD or Master’s in a quantitative field is required, along with 2+ years’ experience.

Qualifications

• 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 and risk factors.
• Experience with FICC, credit or option pricing models is preferred.
• Experience with numerical optimization methods is a plus.
• Strong programming skills in Python and CI/CD practices.
• Excellent communication and ability to own work independently or in a team.

Responsibilities

• Independently conduct quantitative research using statistical and structural models.
• Contribute to research, data tools, alphas, risk and P&L attribution.
• Identify new ideas and datasets for alpha potential.
• Improve investment process and infrastructure with PMs, developers and traders.

Skills

Python

Statistical modeling

Quantitative research

CI/CD

Education

PhD or Master’s in quantitative field

Job description

Role

Quantitative Researcher for a new team focused on systematic corporate bond and credit derivatives strategies.

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 TC 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 the object-oriented programming and CI/CD framework. Proficiency in Python, including with packages used for data research, best practices of coding style, etc.
• Strong communication skills
• Willingness to take ownership of his/her work, working both independently and within a team

The annual base salary range for this role is $150,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.