Sobre este puesto de Quant Trader- Dublin en Geneva Trading
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.
We are looking for Quant Traders to join our growing market-making team in Dublin. The ideal candidate has experience working at a proprietary trading firm and is looking for a position with more autonomy and the opportunity to assist with the rapid growth of a profitable trading desk.
How You Can Make An Impact:
- Managing positions and capitalize on trading opportunities
- Monitor and troubleshoot our proprietary software and trading infrastructure
- Analyze and model trading opportunities using real-world data.
- Build and enhance tools that drive trading decisions and risk management.
- Collaborate with traders and technologists to solve complex, high-impact problems.
What We’re Looking For:
- Strong programming skills in Python (or similar languages).
- Solid understanding of statistics, probability, and optimization techniques.
- Exposure to data analysis tools (e.g., R, MATLAB, Pandas, NumPy).
- Curiosity about financial markets, algorithmic trading, and market microstructure.
- Ability to think critically and communicate complex ideas clearly.
- Ability to work in office.
Preferred Extras
- Experience with kdb+/q, SQL, or other database technologies.
- Participation in trading competitions, math contests, competitive gaming, or poker.
- Familiarity with machine learning techniques such as regression, neural networks, or SVMs.
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.
