Manifold Technologies is a quantitative trading firm building systems that curve with the market’s geometry. We don’t chase trends—we curve the field until structure reveals itself. Most systems collapse when curvature shifts. Ours adapts because it is built from within. Bayesian inference and differential geometry aren’t frameworks we borrow—they are the native language of our architecture.
We’re looking for a Quantitative Developer Intern to support the engineering and research teams in the development of our internal infrastructure. This role involves writing Python code to implement, test, and integrate modules that support our geometric signal logic and execution pipeline. You’ll work on clearly scoped technical problems that matter—and contribute to a system that behaves differently than anything built from statistical shortcuts or backtest tuning.
The ideal candidate is pursuing or has recently completed a degree in computer science, mathematics, or a related field at a top-tier institution (e.g., Stanford, MIT, Berkeley, CMU) with a GPA of at least 3.9. They should have a strong foundation in linear algebra, probability, and machine learning, and be comfortable reasoning from structure, not just applying libraries.
You’re pursuing (or have recently completed) a degree in computer science, mathematics, or a related field at a top institution, with a strong academic track record
You’re comfortable working from first principles, and can reason through systems where intuition matters more than templates
You’re a strong programmer, particularly in Python, and can translate ideas into code that runs cleanly and predictably
You’re open-minded and rigorous—willing to implement ideas you may not have invented, but capable of holding their structure through execution
You’re curious about trading systems, but more interested in how they survive tension than how they chase noise
Write clean, maintainable Python to support modules used in signal generation, evaluation, and execution
Implement mathematical logic—often geometric or probabilistic—under the guidance of the research team
Work on internal simulation tools, data pipelines, or test frameworks depending on experience and team needs
Participate in field-aligned discussions around implementation tradeoffs and experimental structure
Learn the logic of the system—not just how it works, but how and why it holds
The weekly base pay will range from $3,000-$4,500 with actual compensation for successful candidates carefully determined based on a number of factors, including their skills, qualifications, and experience. Additional benefits—such as health coverage, wellness stipends, or retirement contributions—may be offered depending on the final structure of the offer.
Manifold Technologies is an Equal Opportunity Employer.
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