Trader (OCaml Experience)

Trader

OCaml Experience

Jane Street Group, LLC has multiple openings for the role of Trader in New York, NY.

The position duties are as follows: Work as part of a team to execute the firm's proprietary and bespoke strategies in trading various financial instruments in global markets; monitor trade reports, conduct operational tasks to support live trading activity, and build infrastructure to assist with monitoring and desk operations; and develop new trading strategies and research improvements to existing strategies. Day-to-day job duties include:

• Continuously update and maintain a proprietary trading system that facilitates trading of financial instruments across global markets; 
• Research and develop new strategies for trading various financial instruments in their respective markets; 
• Trade and price special situations and corporate actions in various global markets; 
• Liaise with global office traders about trading opportunities and their expectancy/risks as pertains to the firm’s proprietary valuation and trading methods; 
• Maintain competitive markets and provide real liquidity for financial instruments being traded; 
• Exercise discretion with respect to firm risk limits in all trading situations; 
• Build and maintain complex infrastructure that is crucial to real time pricing and market making of financial instruments being traded; 
• Leverage strong understanding of financial markets, trading strategies and behavior in the relevant markets, and significant knowledge of tools such as Excel, Bloomberg, VBA, UNIX, Bash, Python, OCaml, and PostgreSQL; 
• Train Assistant Traders in Jane Street’s trading methodology, technology, infrastructure, operations, and culture; and 
• Interview and recruit new Traders to join Jane Street.

The position requires a 3 or 4 year Bachelor’s degree in Mathematics, Physics, Engineering, Computer Science, or a related scientific or quantitative field or foreign equivalent plus one (1) year of experience in any occupation involving direct work with an automated proprietary trading system. Experience must include the following:

• Applying knowledge of statistics, machine learning, model building, and financial time series analysis to the development of proprietary trading strategies; 
• Developing and maintaining trading systems using software engineering fundamentals in OCaml; 
• Conducting research and performing data analysis and visualization in Python; 
• Learning and building financial asset pricing models for derivatives; and 
• Monitoring and modeling risk across trading portfolios.
• Series 7, Series 57, and Series SIE licenses required.
• All technical requirements for this role may be subject to employer conducted testing to assess minimum proficiency.

Part time telecommuting may be permitted with manager approval.

Ref. T26