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 Research Intern at Manifold Technologies, you will embark on a journey beyond the conventional. This role demands a visionary approach to the stock market, distinct from traditional quantitative trading. Leveraging differential geometric methods for search and distance and Bayesian inference for prediction, you will redefine the norms of machine learning, reconstructing them from fundamental principles. This is a rare opportunity to contribute to the development of our innovative trading strategies, working alongside our expert 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.
About You
- 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
- Engage in collaborative problem-solving with our executive team on the most pressing issues of the trading algorithm, making a direct impact on the development and refinement of our key strategies.
- Translate complex visual and mathematical concepts into programmatic solutions, creating 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.
- Assist the chief executive with specific geometric programming tasks, vital to the development of our overarching model.
- 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.