Quant Trader
Job Description
Geneva Trading LLC is a global principal trading firm founded in 1999 with offices in Chicago and Dublin. Our dedication to the improvement and optimization of our best-in-class proprietary technology allows our firm to compete on all levels in the global trading industry. We pride ourselves on a collaborative culture of integrity, trust, passion, and dedication to personal excellence. Our flat organizational structure and casual environment attracts individuals with the drive to innovate and has led to our consistent success.
POSITION TITLE: Quant Trader
POSITION LOCATION: 190 S. LaSalle St., Suite 1800, Chicago, IL 60603
JOB DESCRIPTION:
Monitor and execute algorithmic trading strategies in live markets. Actively manage risk to maximize profits in accordance with all company’s risk procedures. Take initiative with research, identification, and implementation of profitable trading opportunities. Conduct research of past trading performance to improve revenue capture, risk management, and market coverage. Collaborate closely with quantitative analysts and contribute new analysis material to team’s knowledge database. Participate in training of new team members and continue improving training process documentation. Propose, research, back test and optimize new features for proprietary trading system. Collaborate cross-functionally with technology team to improve proprietary trading system performance. Option to Telecommute.
REQUIREMENTS:
This position requires a Master’s degree, or foreign equivalent, in Financial Mathematics or a related field, plus 2 years of experience in trading or a related industry. Additionally, the applicant must have professional experience with 1) Analyzing financial products fundamentals including derivatives and details around their pricing; 2) Performing financial strategy design, analysis, and parameter optimization to maximize strategy performance using calculus, linear algebra, probability, statistics, and stochastic process; 3) Designing and implementing multivariate data analysis of financial data set and back testing trading systems; 4) Analyzing exchange specific micro market data dissemination process and conducting analysis of market data streams by utilizing market microstructure theories; and 5) Utilizing programming languages including Python, R, and Q (kdb).
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Date Posted
09/20/2023
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