Quantitative Trader — No Finance Experience Required

Jobot; New York (NY); On-site; USD 280,000 - 300,000; Full time

Job summary

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.

Qualifications

• Exceptional quantitative and mathematical reasoning ability.
• Strong practical problem-solving skills.
• Ability to work collaboratively on complex problems.
• Interest in applying quantitative reasoning to real-world decision-making.
• Programming comfort in a language of choice is beneficial but not required.
• Prior finance or economics knowledge is not required.
• Specific programming-language experience is not required.

Responsibilities

• Identify and trade pricing inefficiencies across financial markets.
• Develop and refine proprietary quantitative trading models.
• Analyze market behavior and translate findings into practical trading decisions.
• Manage trading risk and evaluate strategy performance.
• Investigate new financial products and potential trading opportunities.
• Collaborate with traders, researchers, and engineers on quantitative problems.
• Use technology and data to improve trading strategies and decision-making.
• Take on increasing trading responsibility as expertise develops.

Skills

Quantitative reasoning

Problem solving

Collaboration

Quantitative application

Programming familiarity

Finance knowledge not required

Programming languages not required

Job description

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.