Quant Developer (Python/C++) - Model Implementation- Global Hedge Fund

Oxford Knight - New York, NY

Full-time - Mid Level

New York, NY

About the position

A leading systematic hedge fund investing across a variety of financial markets is seeking a talented Quant Developer to join their Model Implementation (Pipeline) team in New York City. This team is comprised of technical and hands-on builders, each wearing multiple hats, and in this role, you'll be expected to do the same. Working collaboratively with Researchers, Engineers, and PMs on the team, your primary focus will be the distributed real-time trading system responsible for computing signals and targeting positions for various strategies. You will take ownership of the design and production implementation of new strategies, lead efforts to identify and tackle platform bottlenecks, and expand capabilities to new asset classes. This position offers a unique opportunity to work in a fast-paced environment where your contributions will directly impact the firm's trading strategies and overall success.

Responsibilities

• Collaborate with Researchers, Engineers, and PMs to develop and implement trading strategies.
• Take ownership of the design and production implementation of new strategies.
• Identify and tackle platform bottlenecks to improve system performance.
• Expand capabilities to new asset classes within the trading system.
• Write automated tests to ensure code quality and reliability.

Requirements

• BS/MS/PhD in Computer Science (or equivalent).
• 5+ years' experience as a Quant Developer (or related position).
• Strong coding experience in Python and C++.
• Outstanding debugging and analytical skills.
• Solid experience with Python data science stack, e.g. Pandas, Numpy, Scikit-learn, etc.
• Keen proponent of writing automated tests.

Benefits

• Competitive base salaries and performance-based bonuses.
• Very collaborative culture where ideas are implemented.
• Work with passionate, forward-thinking, incredibly smart people.