Quant Trader | Manhattan, NY, USA | Remote

Selby Jennings; New York (NY); Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative trading firm is seeking a highly skilled HFT Quantitative Trader to join their elite team. This role offers the chance to work at the intersection of cutting-edge technology and deep market expertise in the dynamic crypto space. As part of this elite trading group, you will develop high-frequency trading strategies, analyze market microstructure, and collaborate with engineers to enhance trading systems. If you have a proven track record in high-frequency trading and a strong command of C++ in latency-sensitive environments, this opportunity could be the perfect fit for you.

Qualifications

• 4+ years of experience in high-frequency trading across various asset classes.
• Advanced proficiency in C++ for low-latency trading systems.

Responsibilities

• Develop and deploy high-frequency trading strategies on crypto exchanges.
• Monitor live trading performance and optimize profitability.

Skills

C++

High-frequency trading

Market microstructure analysis

Job description

Quant Trader

Selby Jennings Manhattan, United States Apply now Posted 18 hours ago Remote Job Permanent Bonus

Quant Trader

Selby Jennings Manhattan, United States Apply now

Our client, a leading proprietary trading firm at the forefront of digital asset markets, is seeking a highly skilled HFT Quantitative Trader to join their elite trading team. This is a unique opportunity to work with a firm that combines cutting-edge technology with deep market expertise in the crypto space.

I am working closely with the hiring team, and I am looking to connect with candidates who have a proven track record in high-frequency trading and a strong command of C++ in latency-sensitive environments.

Key Responsibilities:

1. Develop and deploy high-frequency trading strategies across major cryptocurrency exchanges.
2. Analyze market microstructure and identify short-term alpha opportunities.
3. Collaborate with engineers and researchers to enhance trading systems and infrastructure.
4. Monitor live trading performance and make real-time adjustments to optimize profitability and manage risk.
5. Continuously iterate on models and strategies based on market feedback and data analysis.

Ideal Candidate Profile:

1. 4+ years of experience in high-frequency trading (equities, futures, FX, or similar).
2. 2+ years of experience trading cryptocurrencies in a professional or institutional setting.
3. Advanced proficiency in C++, with a focus on low-latency systems and performance optimization.
4. Strong understanding of order book dynamics, execution algorithms, and market microstructure.
5. Demonstrated success in developing and managing profitable trading strategies.

We support the Financial Sciences & Services industry with talent that can truly shape the future of a business.