Quant Trader- Dublin
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.
- 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.
- 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.
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