Quantitative Analyst, Structured Products Investment Team
At a glance
Mid-level Data Science role at Point72. New York · full-time · no salary stated · we estimate $137,581–$208,900.
Point72 has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after the systems used for structured-products investing
- Bring internal and outside partners together to develop data infrastructure
- Combine alternative and conventional data to make analysis workflows more efficient
- Apply AI to improve processes and use High Yield Equivalent risk measures in market analytics tools
- Handle special initiatives tied to the CLO market
What you bring
- At least three years in sell-side trading or quantitative research, or quant work at a buy-side credit or mortgage fund
- A degree in computer science, economics, engineering, mathematics, physics or statistics
- Advanced ability with a programming language such as Python, C++ or SQL, plus strong Excel and cashflow modeling skills
- Extensive use of third-party structured-credit cashflow engines and APIs
Who this fits
This role suits someone with quantitative or trading experience focused on credit or mortgage investments. The position is based in New York.
From the employer
Quant/Developer Analyst for a Discretionary Macro Investment Team focused on Structured Products
A Career with Point72’s Macro Team
Point72’s Global Macro business is a scaled, global investment platform with more than two decades of experience trading across rates, FX, credit, volatility, and emerging markets. Operating across 10 offices worldwide, we have doubled our capital allocation and grown our number of teams fivefold since 2020. We combine deep asset-class expertise with a highly collaborative culture across macro, fundamental equities, and systematic strategies to drive differentiated investment performance and support long-term career growth for our talent.
What you’ll do
- Help architect and maintain the infrastructure for Structured Products investing.
- Leverage internal and external partners to help with data infrastructure builds.
- Integrate alternative and traditional data sets to help streamline our analytic processes.
- Use Artificial Intelligence (AI) to enhance and optimize processes.
- Work with risk parameters based on High Yield Equivalent and quantitative processes within market-standard analytics platforms such as Bloomberg.
- Manage and assist in special projects within the CLO market.
What’s required
- 3+ years at a sell-side firm in a trading or quantitative research role, or as a quant at a buy-side credit or mortgage-focused fund.
- Undergraduate degree or higher in computer science, economics, engineering, mathematics, physics, or statistics.
- Advanced knowledge of a programming language such as Python, C++, or SQL.
- Advanced skills in Excel and cashflow modeling.
- Extensive experience with third-party structured credit cashflow engines (e.g., INTEX) and API.
- Commitment to the highest ethical standards.
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully-paid health care benefits
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Mental and physical wellness programs
- Tuition assistance
- A 401(k) savings program with an employer match and more
About point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.
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