Selby Jennings
Executive Director Equity E-Trading Algo Developer
Selby Jennings, New York, New York, us, 10261
Executive Director Equity E-Trading Algo Developer
Location: New York, NY This posting describes a leadership role in our Equity E-Trading Quantitative Research team. This executive-level position focuses on advancing our global algorithmic trading platform by combining deep technical expertise with strategic vision to drive innovation and performance across our electronic trading business. You will collaborate with researchers, technologists, and trading professionals to deliver scalable, high-impact solutions that serve clients and strengthen our competitive edge. Base pay range: $250,000.00/yr - $300,000.00/yr Responsibilities
Lead the design and implementation of advanced features across the algorithmic trading platform, expanding product capabilities and improving execution performance. Develop and deploy robust, production-grade algorithms in collaboration with technology teams, ensuring seamless integration into the trading engine. Partner with quant researchers and trading desks to refine models and strategies that drive trading efficiency and client outcomes. Work closely with product and trading teams to architect and deliver client-centric solutions aligned with business objectives. Influence the strategic direction of the platform, contributing to architectural decisions, research priorities, and long-term innovation. Required Qualifications
Master's degree in a STEM discipline (e.g., Computer Science, Engineering, Mathematics, Physics). Minimum 7 years of experience in quantitative development or algorithmic trading. Proficiency in Java or C++ for high-performance systems development. Hands-on experience with algorithmic trading platforms and infrastructure. Strong understanding of North American equity markets and microstructure. Exceptional analytical, quantitative, and problem-solving skills. Excellent communication skills, with the ability to collaborate effectively across business and technology teams. Preferred Qualifications
PhD in a STEM field or equivalent independent research experience. 7+ years of experience in quantitative finance or trading technology. Expertise in developing production-grade trading systems in Java/C++. Familiarity with Python, AWS, and modern data processing technologies. Experience with q/kdb or similar time-series databases. Knowledge of global equity markets and market microstructure. Seniority level
Director Employment type
Full-time Job function
Finance We welcome qualified applicants and do not discriminate based on any protected characteristic. All qualified applicants will receive consideration for employment.
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Location: New York, NY This posting describes a leadership role in our Equity E-Trading Quantitative Research team. This executive-level position focuses on advancing our global algorithmic trading platform by combining deep technical expertise with strategic vision to drive innovation and performance across our electronic trading business. You will collaborate with researchers, technologists, and trading professionals to deliver scalable, high-impact solutions that serve clients and strengthen our competitive edge. Base pay range: $250,000.00/yr - $300,000.00/yr Responsibilities
Lead the design and implementation of advanced features across the algorithmic trading platform, expanding product capabilities and improving execution performance. Develop and deploy robust, production-grade algorithms in collaboration with technology teams, ensuring seamless integration into the trading engine. Partner with quant researchers and trading desks to refine models and strategies that drive trading efficiency and client outcomes. Work closely with product and trading teams to architect and deliver client-centric solutions aligned with business objectives. Influence the strategic direction of the platform, contributing to architectural decisions, research priorities, and long-term innovation. Required Qualifications
Master's degree in a STEM discipline (e.g., Computer Science, Engineering, Mathematics, Physics). Minimum 7 years of experience in quantitative development or algorithmic trading. Proficiency in Java or C++ for high-performance systems development. Hands-on experience with algorithmic trading platforms and infrastructure. Strong understanding of North American equity markets and microstructure. Exceptional analytical, quantitative, and problem-solving skills. Excellent communication skills, with the ability to collaborate effectively across business and technology teams. Preferred Qualifications
PhD in a STEM field or equivalent independent research experience. 7+ years of experience in quantitative finance or trading technology. Expertise in developing production-grade trading systems in Java/C++. Familiarity with Python, AWS, and modern data processing technologies. Experience with q/kdb or similar time-series databases. Knowledge of global equity markets and market microstructure. Seniority level
Director Employment type
Full-time Job function
Finance We welcome qualified applicants and do not discriminate based on any protected characteristic. All qualified applicants will receive consideration for employment.
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