Quant Researcher – Build, Test & Deploy | Tech-Driven NYC Fund

Saragossa; New York (NY); On-site; USD 80,000 - 120,000; Full time

Job summary

Saragossa, a systematic hedge fund in New York, seeks researchers to join their collaborative and tech-driven team. This role emphasizes full ownership of research projects and requires strong engineering skills along with an understanding of alpha generation and risk models. Junior and senior profiles are encouraged to apply, as clarity in qualifications helps with candidate filtering.

Qualifications

• Candidates must have strong engineering skills as all researchers are expected to code.
• A deep understanding of alpha generation, risk models, and transaction costs is essential.

Responsibilities

• Conduct end-to-end research with full ownership.
• Collaborate with a small and powerful tech team.
• Contribute across other parts of the stack when needed.

Skills

Strong engineering skills

Deep understanding of alpha generation

Understanding of risk models

Knowledge of transaction costs

Job description

Research is doing stuff that hasn’t been done - pure ability and common sense.

A small systematic hedge fund is looking for researchers to join their team. The fund primarily focuses on long/short U.S. equities and invests heavily in technology, which is the driving force behind the business. The tech team is small but powerful and highly collaborative.

You will have full ownership over your research. This is a role for someone who does not need to be told what to do - they want a top-tier researcher, hand them the keys, and let them drive. You will build, test, and deploy your own research end-to-end.

The team is highly collaborative, and if you are looking for a narrow, siloed research role, this is not the right fit. They want someone who is excited to do deep research while also being willing to contribute across other parts of the stack when needed.

To be successful, you’ll need:

• Strong engineering skills (all researchers code)
• Deep understanding of alpha generation, risk models, and transaction costs (most important)

For junior candidates, please be transparent in the screening questions. They are open to both junior and senior profiles, but clarity helps with filtering.