About the Research Team
The Research team sits at the intersection of fundamental investment approach and quantitative rigor and discipline. Teams of quantitative researchers and developers work together to build and scale one of the largest equities portfolios in the market by optimizing various aspects of the investment, risk management, portfolio construction, and trade execution lifecycle. The teams are small and highly collaborative – each member makes meaningful contributions to the research agenda and direction and has visible impact in the company’s investments.
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The team is responsible for providing consistent, highly scaled services, environments, curated datasets, and libraries, to deliver a robust platform upon which users from several key businesses can efficiently research, trade, and run analytics.
By building analysis tools into a common platform, we empower our colleagues to work more effectively and to easily share their research and collaborate on ideas. In addition to providing shared frameworks, we also help to make research and ideas production-ready and scalable, so they can be applied in our company’s systematic trading environment.
Responsibilities:
- Designing, building out and maintaining the hedging and back-testing platforms
- Partnering with quantitative researchers to work on hedging research
- Partnering with traders to manage the hedge executions on a day-to-day basis
- Dealing quickly with ad-hoc requests to deal with unique situations that have special hedge requirements or resolve corner cases in our hedging strategies
Requirements:
- BS or MS in a relevant and highly technical field (computer science, math, or other quantitative field)
- 2-6 years professional experience. xhqgsiq Finance industry experience preferred.
- Strong coding skills required; Python preferred
Quantitative Developer in new york at Unknown Company
This position is listed as full time and onsite.