Quantitative Developer

AXQ Capital; New York (NY); On-site; Full time

Job summary

A leading investment management firm in New York is seeking a Quantitative Researcher to develop state-of-the-art systems for quantitative trading. The role involves collaborating on strategy research, building low-latency systems, and optimizing trading infrastructures. Candidates should have a bachelor’s degree in a relevant field, be proficient in Python, and have prior experience in quantitative investing. Join us to drive innovation in trading strategies.

Qualifications

• Bachelor’s degree or above from a top-tier university.
• Prior work or internship experience in quantitative investing.
• Awards in national or international Olympiads (Mathematics, Physics, Computer Science) are a plus.

Responsibilities

• Collaborate closely with teams for strategy research and risk management.
• Build low-latency systems to process data streams in real time.
• Research technology models to enhance machine-learning predictions.
• Optimize low-latency trading infrastructure and risk-control systems.
• Leverage cloud services for dynamic resource management.

Skills

Proficient in Python

Familiarity with Go or C++

Experienced with data-processing libraries such as NumPy and Pandas

Comfortable working in Linux

Strong understanding of computer networking

Excellent communication skills

Education

Bachelor’s degree in Computer Science, Natural Sciences, Engineering, or Financial Mathematics

Job description

AXQ Capital is an investment management firm that employs systematic strategies and aims to generate consistent alpha in global markets. We are a team of passionate quants and technologists dedicated to applying scientific approaches and cutting-edge technologies to the field of quantitative research.

We maintain offices in New York, Beijing, Shanghai, and Xiamen.

Job Duties

• Collaborate closely with other teams to provide solutions for strategy research, systematic trading, and risk management
• Build low-latency systems to process multiple data streams in real time
• Research and apply cutting-edge technology models to improve machine-learning training and prediction
• Continuously optimize the research platform, low-latency trading infrastructure, and risk-control systems
• Leverage cloud services to enhance dynamic resource management solutions

Qualifications

• Bachelor’s degree or above in Computer Science, Natural Sciences, Engineering, or Financial Mathematics from a top-tier university
• Proficient in Python; familiarity with Go or C++ is a plus
• Experienced with data-processing libraries such as NumPy and Pandas
• Comfortable working in Linux and writing shell scripts
• Strong understanding of computer networking, data structures, and algorithms
• Excellent communication and coordination skills, meticulous and detail-oriented
• Prior work or internship experience in quantitative investing
• Awards in national or international Olympiads (Mathematics, Physics, Computer Science)

Join AXQ to build state-of-the-art systems and drive the next generation of quantitative trading!