New Graduate Full-Time Quantitative Trader

About The Role

Wall Street Quants, a proprietary trading firm headquartered in Chicago, is actively searching for a highly driven recent graduate to join as a full-time Quantitative Trader. This role involves leveraging analytical skills, market insight, and quantitative problem-solving techniques to spot trading opportunities, oversee risk, and help build data-driven strategies within global financial markets.

This position suits new graduates passionate about financial markets, probability, game theory, technology, and making swift decisions in a dynamic setting. The selected candidate will collaborate with seasoned traders, quantitative researchers, and engineers to gain hands-on knowledge of designing, testing, and implementing modern trading strategies.

Responsibilities

• Continuously monitor and interpret live market data to discover trading prospects
• Assist in the creation, testing, and fine-tuning of quantitative trading models
• Execute quick, data-backed trade decisions while effectively managing associated risks
• Work jointly with traders, researchers, and technology teams to enhance trading algorithms, tools, and execution platforms
• Perform statistical examinations on both historical and current market information
• Assess market structure, liquidity levels, volatility, and other factors influencing price trends
• Engage in trading simulations, participate in training sessions, and contribute to strategic reviews
• Articulate trade proposals, risk assessments, and performance metrics to team members clearly
• Strive for continual improvement in decision-making through feedback, research, and analysis of trade outcomes

Qualifications

• Possess a Bachelor’s, Master’s, or PhD degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a closely related quantitative discipline
• Demonstrate strong quantitative reasoning, analytical capabilities, and problem-solving aptitude
• Show keen interest in financial markets, trading, probability, competitive strategy, or problem-solving games
• Able to make rapid decisions and maintain composure under pressure
• Exhibit meticulousness and strong intellectual curiosity
• Have excellent communication and collaborative skills
• Preferably possess programming experience in Python or a comparable language
• Experience through internships, research, trading contests, or personal projects involving data analysis, market exposure, or quantitative modeling is beneficial but not essential

Ideal Candidate Profile

The ideal applicant is intellectually inquisitive, competitively driven, numerically proficient, and comfortable making decisions despite incomplete data. They enjoy tackling complex challenges, employing strategic thinking, assimilating feedback for growth, and thriving within a rapid, results-oriented workplace.

Benefits and Compensation

• Extensive training encompassing trading principles, market architecture, risk management, and quantitative strategy formulation
• Mentorship from seasoned professionals including traders, researchers, and technologists
• Direct exposure to live market environments and real-time trading decisions
• A cooperative, high-achievement workplace culture that fosters curiosity, discipline, and ongoing education
• Potential for accelerated advancement based on performance, ownership, and contribution to firm goals
• Competitive pay and comprehensive benefits package