About Us
Manifold Technologies is a pioneering mid-frequency proprietary trading firm founded by a former student and professor at Harvey Mudd College. We are redefining the approach to quantitative trading by blending human-like pattern recognition with the speed of machine intelligence. As a startup getting ready to launch our groundbreaking trading product in November, we are looking for an additional intern for the Winter 2025 term to bridge gaps in engineering and optimize certain components of our trading algorithm. You should be eager to tackle extraordinarily challenging problems and learn at an unprecedented pace.
As a Quantitative Developer intern at Manifold Technologies, your primary responsibility will be to support the research team in the development of their quantitative strategies. This role involves programming specific geometric functions predefined for a stationary problem. To accomplish this effectively, you will need to have a functional understanding of certain components of our trading system, as well as a foundational level of mathematical acumen to facilitate effective communication with the research team.
An ideal candidate should come from a top-tier computer science school (MIT, CalTech, Harvey Mudd, Waterloo, etc.) with a major GPA of at least 3.9 (or 92-95%). Additionally, the candidate should possess a fundamental understanding of linear algebra, probability and statistics, and machine learning.
Who You Are
- You are currently pursuing or have completed a degree in computer science and mathematics at a top tier institution, demonstrating outstanding academic performance.
- You exhibit a deep level of mathematical maturity and are confident in your ability to navigate complex problems without a predefined solution.
- You are an exceptional programmer who can effortlessly translate mathematical intuition into computational algorithms.
- You thrive in a startup setting, are eager to make a significant impact, and open to potential equity-based incentives.
- You’re intellectually curious, open to seeing mathematics from a different perspective, and prepared to tackle the most challenging problem of your life.
Responsibilities
- Actively communicate with the research team to understand their requirements around complex visual and mathematical problems, and then adeptly transform these into technical specifications for system development.
- Either independently or in collaboration with the research team, effectively translate these specifications into programmatic solutions, contributing to the creation of key independent, functional components of our trading algorithm.
- Maintain and manage exchange and data connectivity, ensuring seamless integration with our in-house system developed natively in Python.
- Monitor and optimize the execution side logic of our trading system while simultaneously ensuring mathematical alignment with our geometric signals.
- Participate in focused learning sessions aimed at providing a functional understanding of our proprietary trading system, equipping you with the knowledge and skills required to successfully complete your assigned tasks.
Compensation
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.
This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental, and other wellness plans, and 401(k) contributions.
Manifold Technologies is an Equal Opportunity Employer.
