Equity Derivatives Quant Trader: Quant Research & Execution

Jefferies; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

Jefferies in New York is seeking an Analyst/Associate to join the Equity Derivatives Quant/Trading team. You will develop pricing models, conduct quantitative research, and build tools for trading and risk management.

The ideal candidate has a strong quantitative background, 2–6 years experience, and proficiency in Python and SQL. You will backtest strategies, collaborate with trading and technology teams, and contribute to a fast-paced, autonomous environment.

Qualifications

• Bachelor’s degree in a quantitative discipline.
• 2–6 years of full-time trading or quantitative research experience.
• Proficient in Python and SQL; production-ready coding skills.
• Strong knowledge of probability, statistics, and stochastic processes.
• Understanding of options pricing, Greeks, and volatility dynamics.

Responsibilities

• Develop and enhance pricing models for equity and index options.
• Conduct quantitative research to identify trading opportunities.
• Build Python- and SQL-based tools for research, trading automation, and risk management.
• Design and run back tests to validate signals and strategies.
• Assist traders in analyzing market conditions and risk exposures.
• Leverage AI/ML techniques to improve efficiency and decision-making.
• Develop and maintain proprietary analytics for portfolio and risk monitoring.
• Collaborate with technology teams to integrate models and tools.
• Operate in a fast-paced environment with high ownership and accountability.

Skills

Python

SQL

Mathematics

Statistics

Machine Learning

Communication

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, or related quantitative discipline

Tools

C++

Java

Job description

Jefferies in New York is seeking an Analyst/Associate to join the Equity Derivatives Quant/Trading team. You will develop pricing models, conduct quantitative research, and build tools for trading and risk management.

The ideal candidate has a strong quantitative background, 2–6 years experience, and proficiency in Python and SQL. You will backtest strategies, collaborate with trading and technology teams, and contribute to a fast-paced, autonomous environment.