New Grad Full-Time Quantitative Trader

Wall Street Quants is a proprietary trading firm based in New York City seeking a highly motivated New Graduate Quantitative Trader to join their team full-time. The role involves applying analytical thinking and market intuition to pricing, execution, and risk decisions as part of the quantitative trading team.

What you'll do:

• Reason through pricing, risk, and execution decisions
• Analyze trade outcomes and market behavior with data
• Build disciplined habits around probability, sizing, and feedback loops
• 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
• 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

What they're looking for:

• Final-year student or recent graduate from any degree discipline with strong analytical instincts
• Comfort with probability, mental math, games, markets, or coding
• Interest in learning within a fast-feedback trading environment; no prior quant or finance experience is required
• Final-year student or recent graduate from any degree discipline who is ready to begin a full-time role
• No specific academic major is required; analytical ability and learning speed matter more than subject studied
• 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, intellectual curiosity, and a disciplined approach to risk
• Strong attention to detail, intellectual curiosity, and a commitment to continuous improvement
• Excellent communication and teamwork skills
• Programming experience in Python or a similar language is preferred

Benefits:

• Comprehensive training in trading, market structure, risk management, and quantitative strategy development.
• Mentorship from experienced quantitative traders, researchers, engineers, and technologists.
• Exposure to live markets, real financial datasets, and the full path from idea to implementation.
• A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
• Opportunities for rapid growth based on performance, ownership, and measurable impact.
• Competitive compensation and a benefits package aligned with the employer and location.
• Competitive compensation and benefits package.