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
- 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.
Skills Required
- 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
- Experience with FICC, credit or option pricing models
- Experience with numerical optimization methods
- Solid programming skills in Python
- Strong communication skills
- Willingness to take ownership of work
Point72 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Point72 and has not been reviewed or approved by Point72.
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Healthcare Strength — Healthcare coverage is described as exceptional with comprehensive options and low out-of-pocket costs. Medical, dental, and vision are characterized as fully covered or no-premium for U.S. employees.
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Retirement Support — The 401(k) program features a generous employer match and access to after-tax contributions with in-plan Roth conversions. Value accrues through a multi-year vesting schedule that rewards tenure.
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Parental & Family Support — Parental and family leave is highlighted as generous and has strengthened over time. Clear primary and secondary caregiver policies are in place and seen as competitive.
Point72 Insights
What We Do
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.
