LinkedIn and 3rd parties use essential and non-essential cookies to provide, secure, analyze and improve our Services, and to show you relevant ads (including professional and job ads) on and off LinkedIn. Learn more in our Cookie Policy.
Select Accept to consent or Reject to decline non-essential cookies for this use. You can update your choices at any time in your settings.
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.
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. Finance industry experience preferred.
Strong coding skills required; Python preferred
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering, Finance, and Research
Industries
Financial Services, Engineering Services, and Software Development
Referrals increase your chances of interviewing at Alpha Search Advisors by 2x