Founded in 1999, Geneva Trading is a premier global principal trading firm with strategically located offices in Chicago, Dublin, and London. Our relentless focus on trading excellence combined with technological innovation has equipped us with a best-in-class proprietary trading platform, enabling us to compete at the highest levels in the global markets. Rooted in a culture of integrity, collaboration, and an unwavering passion for progress, we foster an environment of personal and professional excellence. Our nimble organizational structure and entrepreneurial spirit attract top-tier talent with a passion for innovation, laying the foundation and driving our consistent success in the industry.
POSITION TITLE: Quant Trader
POSITION LOCATION: 190 S. LaSalle St., Suite 1800, Chicago, IL 60603
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.
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.