Quantitative Trader — Build Proprietary Models & Trade

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

Job summary

Jobot in New York is seeking a highly quantitative trader to join a collaborative team focusing on pricing inefficiencies and quantitative models. You will work with traders, researchers, and engineers to develop and execute trading strategies in real time.

The role emphasizes strong mathematical reasoning, data-driven decision making, and increasing trading responsibility as expertise grows. No prior finance experience is required, and the environment is on-site in New York.

Qualifications

• Exceptional quantitative and mathematical abilities.
• Strong practical problem-solving skills.
• Ability to work collaboratively on complex problems.
• Interest in applying quantitative methods to real-world decisions.
• Programming familiarity beneficial but not required.
• Prior finance or economics knowledge not required.
• Specific programming-language experience 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 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 data to improve trading strategies and decision-making.
• Take on increasing trading responsibility as expertise develops.

Skills

Quantitative reasoning

Problem solving

Team collaboration

Finance knowledge not required

Programming familiarity

Applied mathematics

Real-world decision making

Job description

Jobot in New York is seeking a highly quantitative trader to join a collaborative team focusing on pricing inefficiencies and quantitative models. You will work with traders, researchers, and engineers to develop and execute trading strategies in real time.

The role emphasizes strong mathematical reasoning, data-driven decision making, and increasing trading responsibility as expertise grows. No prior finance experience is required, and the environment is on-site in New York.