Proprietary trading in US stocks and futures
We are a research-driven proprietary trading firm specializing in US stocks and global futures, uncovering new market opportunities with innovative short- and mid-term directional strategies.
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We are looking for
Quantitative signal contributors
Your core objectives
Leverage your existing expertise, signals, and models to create top-tier predictive indicators
Generate high-caliber predictive indicators
Work with equities, indexes, commodity futures, forex, and other non-equity markets
Broad market coverage
Compensation is directly tied to the quality and success of the signals, with no exclusive commitment required
Participate from anywhere in the world (subject to approval) with intellectual property rights insurance in place
Global collaboration
Performance-based compensation
Manage holding periods ranging from hours to days, targeting daily return fluctuations of up to 20% per annum
Flexible holding durations
Your present skillset
Proven track record in delivering successful systematic strategies: creative models with realized Sharpe Ratios > 1
01
Minimum 2 years of experience in building successful strategies
04
A deep knowledge of the systematic trading space
02
Capacity to work with autonomy and be an independent thinker
03
What we offer
*Subject to expected Sharpe Ratio and manager’s background capital can be increased
1Q trial period with minimum capital required for model portfolio
1Q trial period with minimum capital required for model portfolio
Long-term capital introduction plan (from 500..700k for the 1st year)*
1
Individual setup
2
Flexible success participation rates
3
Low latency environment for US Stocks/Options on Stocks, mid-latency environment for Futures (CQG Web API)
4
Why join us as a quantitative signal contributor?
Success fees of up to 50%, depending on expected Sharpe ratios and portfolio turnover.
Aggressive profit-sharing plans
Scalable margin-to-equity ratios of 60–70% and leveraged positions up to 8x–10x.
Flexible risk tolerance
We are looking for
Independent systematic traders
Your core objectives
Use your fully automated trading system
Manage our company’s brokerage account
Work with equities, indexes, commodity futures, forex, and other non-equity markets
Broad market coverage
Compensation is directly tied to the quality and success of the signals, with no exclusive commitment required
Participate from anywhere in the world (subject to approval) with intellectual property rights insurance in place
Global collaboration
Performance-based compensation
Manage holding periods ranging from hours to days, targeting daily return fluctuations of up to 20% per annum
Flexible holding durations
Your present skillset
Transparency during due diligence and on boarding process
06
Proven track record in delivering successful systematic strategies: creative models with realized Sharpe Ratios > 1
01
Privately developed fully operational framework for market data collection, trading signals generation and market order execution integrated with connectivity services provided by our Broker (CQG, proprietary API, MT 4/5 etc.)
02
A deep knowledge of the systematic trading space
03
Capacity to work with autonomy and be an independent thinker
04
Minimum 2 years of experience in building successful strategies
05
What we offer
*Subject to expected Sharpe Ratio and manager’s background capital can be increased
1Q trial period with minimum capital required for model portfolio
1Q trial period with minimum capital required for model portfolio
Long-term capital introduction plan (from 500..700k for the 1st year)*
1
Flexible Success participation rates (Success Fee can be from 20% to 50% subject to expected Sharpe Ratio, Hurdle rate implementation etc.)
2
Research consulting, seminars and much more
3
Low latency environment for US Stocks/Options on Stocks, mid-latency environment for Futures (CQG Web API)
5
Startup atmosphere within a well-established financial group
4
Scale your quantitative potential with us
Success fees can be scaled up to 70–80% with initial loss coverage.
First loss capital coverage
Scalable margin-to-equity ratios of 60–70% and leveraged positions up to 8x–10x.
Flexible risk tolerance
Success fees of up to 50%, depending on expected Sharpe ratios and portfolio turnover.
Aggressive profit-sharing plans
Scalable margin-to-equity ratios of 60–70% and leveraged positions up to 8x–10x.
Flexible risk tolerance
We are looking for
Explore quantitative trading with Limex Quantum’s interactive course in Big Data, Machine Learning, and AI. Gain global flexibility and opportunities for internships, consulting, or partnership.
Students
Your present skillset
5
Passion for systematic trading and algorithmic strategies
Interest
Proficient in Python, R, C++, or Java; basic financial market knowledge
Skills
2
Strong problem-solving and data analysis skills
Analytical ability
3
7
Communication
Clear in explaining complex models; open to collaboration
Able to dedicate time for research and model development
6
Commitment
1
Education
Enrolled in a tech field (Physics, CS, Math, Data Science, etc.)
Internship or project experience in trading or algo development (preferred)
Experience
4
Your core objectives
Long-term capital introduction (up to a six-figure USD amount in the first year)
Individualized setup and flexible success rates
Research consulting, seminars, and much more
Why join us as a student?
Internship opportunities
04
Exceptional interns may secure pre-placement offers, paving the way for a seamless transition to a thriving career post-graduation.
05
Unlimited earning potential
02
Your compensation is directly tied to your performance. Top performers can out-earn even senior-level professionals.
Work globally, stay local
03
Operate from your home country while accessing global markets, ensuring a balanced and rewarding career.
Achieve on your own terms
01
Experience a workplace where your success is determined solely by your performance, free from office politics.
Experienced mentors
Rustem Kalmetev
Professional quantitative researchers and systematic traders from globally high-ranking universities and quantitative firms
Head of Research and Development,
Limex Quantum
Nicole Königstein
LLMs in Finance Mentor,
Limex Quantum
What our students are saying
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.
Nihar P.
Math and CS 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 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.
Nihar P.
Math and CS student
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