We are committed to ensuring that every capable trader gets the resources, mentorship, and technology needed to compete at the highest level.
We believe talent should define opportunity — not background.
Students & Early Careers
Why students and early careers should join Quantum?
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Learn from elite quantitative researchers and systematic traders from top universities and leading financial firms. Gain exclusive insights and guidance to accelerate your trading journey.
World-Class Mentorship
Your success is directly rewarded — compensation is tied to performance, allowing top traders to out-earn even senior professionals.
Performance-Based Earnings
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Internship Opportunities
Stand out as an exceptional intern and secure pre-placement offers for a seamless transition into a thriving trading career. Gain hands-on experience and open doors to top NYC hedge funds and leading firms.
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Provided by
We are commited to ensuring your professional growth with Lime Prime both as an individual or a group of individuals.
We are looking for people with educational background in Physics, Computer Science, Math, Data Science, but not limited to.
We are looking for people with (1) proficiency in Python, R, C++, or Java (2) basic financial market knowledge, and (3) strong problem-solving and data analysis skills
Internship or project experience in trading or algo development will be preferred, but not required.
We are looking for people who are (1) passionate about systematic trading and algorithmic strategies, (2) able to dedicate time for research and model development (3) able to clearly articulate complex models, and (4) open to collaboration.
Testimonials from our students
The hands-on assignments in the course were exceptional, particularly Assignment 4.1. I explored various types of regularization and demonstrated that L2 regularization performed best in my example. The strategy encouraged me to think beyond the basics, incorporating feature engineering, testing new targets, and experimenting with stop loss and take profit mechanisms. The course's practical approach and focus on real-world applications have significantly enhanced my understanding and skills in algorithmic trading.
Alice A.
Math and probability theory student
I have never encountered such a deep dive into the methodology of developing algorithmic strategies as part of free content from industry professionals. The course challenged me with its depth and precision, pushing me to understand complex concepts like the momentum smile, contango/backwardation adjustments, and pair trading risk neutralization. Whenever I faced challenges, the Limex Quantum team was incredibly supportive, answering my questions and providing valuable academic resources. This experience has inspired me to study further and prepare a results portfolio to join their team of external research consultants
Robert L.
Math and CS student
The lectures are highly engaging, and the additional research tasks in the Python notebooks are both challenging and rewarding. I’ve successfully completed several tests, but one particularly thought-provoking problem stood out: calculating the maximum Sharpe ratio under specific conditions. This question encouraged me to think critically about the independence of returns and explore scenarios with dependent returns, where the coefficient could exceed the given solution. The depth of these challenges makes the course an excellent resource for aspiring algorithmic traders.
Matthew S.
Math and CS undergraduate
The course materials and Python notebooks have been incredibly well-structured and insightful. Although I’ve been busy with university exams, I’m looking forward to fully engaging with the assignments starting in January-February. The quality of the content has already given me confidence that this course will significantly enhance my understanding of algorithmic trading methodologies.
Geoffrey B.
Math and CS student
The Algorithmic Trading course has been an invaluable learning experience. While academic commitments limited my time recently, I’ve still managed to prepare and submit my analysis for Module 1, which I hope meets the high standards of the program. The course has fueled my enthusiasm for the field, and I’m eager to dedicate more time to the materials after my exams. I truly believe this opportunity aligns perfectly with my skills and aspirations, and I’m excited to contribute further in the near future.
I have never encountered such a deep dive into the methodology of developing algorithmic strategies as part of free content from industry professionals. The course challenged me with its depth and precision, pushing me to understand complex concepts like the momentum smile, contango/backwardation adjustments, and pair trading risk neutralization. Whenever I faced challenges, the Limex Quantum team was incredibly supportive, answering my questions and providing valuable academic resources. This experience has inspired me to study further and prepare a results portfolio to join their team of external research consultants
Robert L.
Math and CS student
The hands-on assignments in the course were exceptional, particularly Assignment 4.1. I explored various types of regularization and demonstrated that L2 regularization performed best in my example. The strategy encouraged me to think beyond the basics, incorporating feature engineering, testing new targets, and experimenting with stop loss and take profit mechanisms. The course's practical approach and focus on real-world applications have significantly enhanced my understanding and skills in algorithmic trading.
Alice A.
Math and probability theory student
The lectures are highly engaging, and the additional research tasks in the Python notebooks are both challenging and rewarding. I’ve successfully completed several tests, but one particularly thought-provoking problem stood out: calculating the maximum Sharpe ratio under specific conditions. This question encouraged me to think critically about the independence of returns and explore scenarios with dependent returns, where the coefficient could exceed the given solution. The depth of these challenges makes the course an excellent resource for aspiring algorithmic traders.
Matthew S.
Math and CS undergraduate
The course materials and Python notebooks have been incredibly well-structured and insightful. Although I’ve been busy with university exams, I’m looking forward to fully engaging with the assignments starting in January-February. The quality of the content has already given me confidence that this course will significantly enhance my understanding of algorithmic trading methodologies.
Geoffrey B.
Math and CS student
The Algorithmic Trading course has been an invaluable learning experience. While academic commitments limited my time recently, I’ve still managed to prepare and submit my analysis for Module 1, which I hope meets the high standards of the program. The course has fueled my enthusiasm for the field, and I’m eager to dedicate more time to the materials after my exams. I truly believe this opportunity aligns perfectly with my skills and aspirations, and I’m excited to contribute further in the near future.