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Jobot in New York seeks a highly quantitative trader to join a collaborative trading team focused on identifying pricing inefficiencies and developing quantitative models. You will execute trading strategies, manage risk, and explore new opportunities in a fast-paced environment.
The role emphasizes mathematical reasoning, technology-driven approaches, and teamwork with researchers and engineers. Prior finance knowledge is not required, and programming in any language is acceptable.
$300K base plus bonus with no prior finance experience required.
This Jobot Job is hosted by: Andrew Crain.
Salary: $280,000 - $300,000 per year.
A leading quantitative trading firm in New York is seeking a Quantitative Trader to join a highly collaborative trading organization built around mathematical reasoning, technology, and proprietary research.
The firm's traders work in teams to identify and trade pricing inefficiencies, develop proprietary models, manage risk, investigate new products, and explore new business opportunities. Technology is central to the firm's approach, with traders and engineers working closely together on complex real-world problems.
We are seeking a highly quantitative problem solver to join a collaborative trading team in New York. This position focuses on identifying pricing inefficiencies, developing quantitative models, executing trading strategies, managing risk, and researching new trading opportunities.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
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