Job Title: Algo Quant Developer - eTrading (VP/D)
Location: New York, NY
Team: Equities eTrading
Position Overview
We are seeking an experienced Algo Quant Developer to join our QR Equities eTrading team in New York. This team partners with the electronic trading desk and technology groups to design and implement advanced algorithmic trading solutions for global equities markets. The role focuses on building and optimizing the core algorithmic trading platform, integrating quantitative models, and delivering client-centric solutions.
As a VP or Executive Director, you will play a key role in shaping the architecture and functionality of our algo trading systems, working closely with quant researchers, traders, and technologists to deliver high-performance strategies.
Key Responsibilities
• Algorithm Development:
Design, implement, and optimize algorithmic trading strategies within the production platform, ensuring scalability and robustness.
• Platform Engineering:
Build and enhance core components of the algo trading engine, including execution logic, smart order routing, and performance optimization.
• Model Integration:
Collaborate with quantitative researchers to integrate predictive models, analytics, and optimization techniques into live trading systems.
• Client Solutions:
Partner with product teams and trading desks to develop client-focused algorithmic solutions and customizations.
• Performance Tuning:
Profile and optimize system performance for low latency and high throughput across global equity markets.
• Cross-Functional Collaboration:
Work closely with technology teams to ensure seamless deployment and reliability of trading systems. Required Qualifications
• Master's degree in Computer Science, Engineering, Mathematics, or related STEM field.
• 5+ years of experience in algorithmic trading development or similar roles.
• Strong programming skills in Java or C++ for production-grade systems.
• Experience with North American equity markets and market microstructure.
• Proven ability to design and implement trading algorithms in a live environment.
• Excellent analytical and problem-solving skills.
• Strong communication skills for working with traders, researchers, and technologists. Preferred Qualifications
• Ph.D. in a STEM discipline or equivalent research experience.
• 5+ years of experience in algo trading development.
• Proficiency in Python, AWS, and modern data processing technologies.
• Experience with q/kdb+ or similar time-series databases.
• Knowledge of global cash equity markets and microstructure.
