What are the responsibilities and job description for the Quantitative Software Engineer - Elite Systematic Hedge Fund | New York - Industry Leading Comp position at Mondrian Alpha?
An industry-leading systematic hedge fund is seeking exceptional quantitative software engineers to join its New York team. This firm operates at the cutting edge of high-performance computing, AI-driven trading strategies, and ultra-low latency execution, competing at the highest levels of global financial markets.
This opportunity is tailored for individuals with extraordinary technical ability, particularly those with backgrounds in high-frequency trading, AI research labs (DeepMind, OpenAI, FAIR), or advanced computational engineering teams at organizations like Google Brain, Nvidia, or SpaceX.
The Firm
This systematic trading firm has built one of the most sophisticated technology infrastructures in the financial industry, enabling real-time decision-making at an unprecedented scale. The environment is highly selective and research-driven, where engineers and quantitative researchers work collaboratively to solve some of the most complex computational problems in finance.
The team focuses on ultra-low latency architectures, self-learning trading models, and high-performance execution systems. With an approach that merges machine learning, distributed computing, and hardware acceleration, this firm attracts the world’s best engineers and researchers who thrive in a culture of intellectual rigor and deep problem-solving.
Key Responsibilities
- Architect and optimize real-time execution systems that operate at the absolute limits of computational efficiency.
- Develop self-learning trading algorithms that evolve autonomously in live environments.
- Engineer customized infrastructure, leveraging FPGA acceleration, GPU-based reinforcement learning, and high-performance C / Rust systems.
- Build bespoke compiler optimizations and low-level software that interacts directly with hardware.
- Optimize microsecond-level network performance, ensuring the fastest possible signal processing and execution speeds.
- Work in a highly autonomous environment, where direct contributions impact the firm’s trading performance.
Technology Stack
The firm operates on a best-in-class technology stack, incorporating :
Ideal Candidate Profile
Why Join?
How to Apply
For highly qualified candidates with a background in elite computational engineering, this opportunity represents a rare chance to work at the forefront of systematic trading.
To discuss this role in confidence, please contact Thalia Spolander at thalia.spolander@mondrian-alpha.com