Post Job Free
Sign in

Experienced/Lateral - Quantitative Researcher

Company:
Five Rings LLC - Careers
Location:
New York, NY
Posted:
May 15, 2025
Apply

Description:

About Five Rings

Five Rings is a proprietary trading firm founded with a vision of combining strategy, innovation and technology to succeed in today’s global markets. With offices in New York, Boca Raton, London and Amsterdam, Five Rings trades in various domestic and international markets, both established and esoteric. Our team constantly seeks new opportunities, analyzes their risks and rewards, and creates strategies and tools to capitalize on them.

We have an open culture and encourage the flow of knowledge and ideas between all areas of the firm.

About the Role

Five Rings gives people as much responsibility as possible, as quickly as it can be earned.

Identify new opportunities in the markets we trade

Construct or enhance market models

Develop analyses and simulations

Implement models in our trading systems

Test models in real time

Collaborate with traders and software developers

About You

Must possess a Bachelor's degree in computer science, economics, mathematics, physics, statistics, or another qualifying field.

Minimum of two years' work experience involving the development of quantitative trading strategies.

Experience conducting data analysis involving large financial datasets to find signals for mid- to high-frequency trading

Exceptionally mathematically proficient

Possesses a hunger to work on some of the most complex mathematical problems

Risk taker and problem solver

Explores innovative thinking and analytical methodologies

Extremely detail-oriented and thrives in a fast-paced, highly collaborative environment

Eager to continue to learn and grow your skills

Proficiency in statistical languages and/or packages in R, python, or similar.

Annual Base Salary: $300,000. Total compensation packages are comprised of base salary and a discretionary bonus.

Applicants are able to apply to multiple positions, but we strongly encourage you to only apply to your top choice.

Apply