New Grad Full-Time Quantitative Trader

WallStreetQuants; New York (NY); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Comprehensive training in trading

Mentorship from experienced professionals

Competitive compensation and benefits package

Job summary

WallStreetQuants, based in New York City, is seeking a motivated New Grad Quantitative Trader to join their full-time team. This role involves applying analytical skills and market intuition to identify trading opportunities and develop data-driven strategies.

Successful candidates will monitor real-time market data, support quantitative strategy development, and collaborate with traders and researchers. A strong background in quantitative fields and programming skills in Python are preferred.

Qualifications

• Relevant degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, or Finance.
• Strong quantitative and analytical skills.
• Interest in financial markets and trading.

Responsibilities

• Monitor and analyze market data for trading opportunities.
• Support quantitative trading strategy development.
• Make data-informed trading decisions while managing risk.
• Collaborate with teams to improve trading tools.

Skills

Quantitative analytical skills

Problem-solving skills

Communication skills

Teamwork skills

Attention to detail

Programming in Python

Education

Bachelor’s, Master’s, or PhD in a quantitative field

Job description

About the Role

A proprietary trading firm based in NYC is seeking a highly motivated New Grad Quantitative Trader to join the team full-time. In this role, you will apply analytical thinking, market intuition, and quantitative problem-solving to identify trading opportunities, manage risk, and contribute to the development of data-driven strategies across global markets.

This is an ideal opportunity for recent graduates who are passionate about financial markets, probability, game theory, technology, and fast-paced decision-making. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern trading strategies are designed, tested, and executed.

Responsibilities

• Monitor and analyze real-time market data to identify trading opportunities.
• Support the development, testing, and refinement of quantitative trading strategies.
• Make fast, data-informed trading decisions while managing risk.
• Collaborate with traders, researchers, and engineers to improve trading models, tools, and execution systems.
• Conduct statistical analysis on historical and live market data.
• Evaluate market microstructure, liquidity, volatility, and other drivers of price movement.
• Participate in trading simulations, training programs, and strategy review sessions.
• Communicate trade ideas, risks, and performance insights clearly to the team.
• Continuously improve decision-making through feedback, research, and post-trade analysis.

Qualifications

• Bachelor’s, Master’s, or PhD degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
• Strong quantitative, analytical, and problem-solving skills.
• Interest in financial markets, trading, probability, strategy games, or competitive problem-solving.
• Ability to make decisions quickly and remain calm under pressure.
• Strong attention to detail and intellectual curiosity.
• Excellent communication and teamwork skills.
• Programming experience in Python or a similar language is preferred.
• Prior internship, research, trading competition, or personal project experience involving data analysis, markets, or quantitative modeling is a plus but not required.

Ideal Candidate

The ideal candidate is intellectually curious, competitive, numerically strong, and comfortable making decisions with incomplete information. You enjoy solving complex problems, thinking strategically, learning from feedback, and working in a fast-moving environment where performance and precision matter.

What We Offer

• Comprehensive training in trading, market structure, risk management, and quantitative strategy development.
• Mentorship from experienced traders, researchers, and technologists.
• Exposure to live markets and real-time trading decision-making.
• A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
• Opportunities for rapid growth based on performance, ownership, and impact.
• Competitive compensation and benefits package.