Software Engineer

Job Description

Our client is an elite proprietary trading firm founded by MIT and Harvard alumni, consistently delivering 40%+ annual returns across equities and futures. Sitting at the intersection of top-tier academia and high-performance trading, it’s one of the most intellectually rigorous environments in the industry.

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Nearly half of the firm’s roughly 40 people hold PhDs from the world’s leading institutions, and that academic depth is matched by cutting-edge execution. They’re now growing across engineering and research to build the next generation of their trading platform and strategies. This is a lean, high-density team where the code you write and the models you build run in production, and your decisions show up directly in PnL.

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What you’ll do

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Software Engineers & Quant Developers

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• Build and optimize the computational infrastructure behind core research and portfolio construction
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• Work side by side with researchers to turn new ideas into production trading systems
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• Design custom software to process large-scale market data in distributed and single-machine environments
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• Write high-performance, multi-threaded code using locks and lock-free primitives
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Machine Learning Engineers

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• Build and scale the pipelines that train, evaluate, and deploy models on large volumes of market data
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• Turn research prototypes into fast, reliable models running in live trading
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• Optimize training and inference performance, from data loading to GPU and CPU efficiency
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• Develop tooling that helps researchers experiment faster and more rigorously
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Researchers

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• Develop and test predictive signals and models across equities and futures
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• Apply statistics, machine learning, and optimization to noisy, real-world market data
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• Design rigorous experiments that separate real effects from overfitting
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• See your ideas go from hypothesis to live strategy, with clear feedback on what works
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Across every role , you’ll own problems end to end with no layers between you and the result.

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What you bring

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Software Engineers & Quant Developers

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• Around 3+ years of software development experience, with strong C++ skills, low-level debugging, and resource optimization
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• Experience working in large, complex codebases behind critical systems
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Machine Learning Engineers

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• Around 3+ years building and deploying ML systems in production
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• Strong Python skills and experience with a framework such as PyTorch; C++ is a plus
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• A solid grasp of ML fundamentals and how to make models fast and robust in practice
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Researchers

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• A strong background in a quantitative field such as mathematics, statistics, physics, computer science, or operations research
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• Hands-on experience with statistical modeling or machine learning on real data
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• Comfort coding in Python or a similar language to test your own ideas
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Everyone

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• A genuine love of hard technical problems: performance puzzles, clean abstractions, and understanding systems all the way down
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• Intense intellectual curiosity, whether that shows up in mathematics, chess, research, or building things for fun
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Nice to have

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• A PhD in Computer Science, Mathematics, Physics, Statistics, Operations Research, or a related field (more common among researchers, though not required)
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• Strong results in competitions such as IMO, IPhO, IOI, Putnam, or competitive programming; many on the team have them, but it’s not a requirement
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• An exceptional academic or professional track record, wherever you earned it
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• Prior experience in trading, finance, or working with market data
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Why this role

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• Rare talent density: a team of about 30, founded by MIT and Harvard alumni, where nearly half hold PhDs
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• Proven performance: a privately funded firm compounding at 40%+ per year
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• Direct impact: a flat structure with no middle management, where great work shows up immediately in results
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• Exceptional compensation: base salaries up to $550k, with fully guaranteed bonuses bringing total cash to $1.5M or higher.
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Don’t tick every box? Please apply anyway. Outstanding engineers and researchers come from many paths, and we’d rather hear from you than have you rule yourself out.

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Interested? Reply and Goliath Partners will be in touch. The team is small, so openings are limited.