Overview
Experienced/Lateral - Quantitative Researcher at Five Rings LLC — New York. 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.
Full job 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.
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Identify new opportunities in the markets we trade
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Construct or enhance market models
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Develop analyses and simulations
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Implement models in our trading systems
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Test models in real time
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Collaborate with traders and software developers
About You
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Must possess a Bachelor's degree in computer science, economics, mathematics, physics, statistics, or another qualifying field
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Minimum of two years' work experience involving the development of quantitative trading strategies in futures and/or equities
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Experience conducting data analysis involving large financial datasets to find intraday signals for mid- to high-frequency trading
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Exceptionally mathematically proficient
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Possesses a hunger to work on some of the most complex mathematical problems
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Risk taker and problem solver
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Explores innovative thinking and analytical methodologies
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Extremely detail-oriented and thrives in a fast-paced, highly collaborative environment
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Eager to continue to learn and grow your skills
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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.
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