We believe collaboration is the key to maximizing expertise and creativity
Trade Desk Operations Engineer
About Us: Cognitive Capital, LLC is a proprietary trading firm that adds value to capital markets by providing liquidity through automated trading technology. Our quantitative researchers, portfolio managers, and software developers create and implement the algorithms and software used to execute the firm’s trading strategies. We foster an ethical, data-driven, and collaborative culture that focuses on building robust, scalable systems.
About the Position: We are seeking a motivated team player with technical aptitude and market awareness to support the operation of our automated trading system in Chicago. The qualified candidate will be supporting U.S. trading hours.
Perform daily procedures relevant to the trading system for equity and futures markets.
Monitor system status and operational integrity from 6:00 a.m. through the market close.
Monitor and spot-check trades and displayed system values in real time.
Step in and manage the trading system when limited staffing requires it.
Deal with trading exceptions, such as unacknowledged orders or broken trades.
Facilitate change management and ensure that new software and hardware function as intended.
Identify and respond to system incidents, perform troubleshooting procedures, and escalate as necessary.
Participate in follow-on investigation for root cause analysis of identified issues.
Adjust for and respond to Corporate Action related events.
Work with colleagues to identify and develop opportunities to enhance and improve trading system procedures.
Add, maintain, and ensure integrity of trading system parameterization data.
Enhance and further automate existing processes by writing scripts with accompanying reports.
Create and maintain documentation of trading-related procedures.
Bachelors degree in a quantitative or technical discipline.
At least 2 years relevant work experience.
Knowledge of markets and trading.
Proficient with UNIX/Linux and Windows.
Proficiency in a programming language. Knowledge of Python, Ruby, and Perl is a plus.
Experience using Structured Query Language (SQL) to interact with database tables.
Detail-oriented and well-organized.
Able to multi-task and work under pressure.
Able to exercise sound judgment when solving or escalating problems.
Able to work independently.
Series 7 or 57 preferred (The successful candidate will be required to pass the Series 57 exam if not previously obtained).
Compensation: Salary and bonus based on qualifications and performance.