Cubist Systematic
Solve a Never-Ending Puzzle
We’d like to help you discover something about the world that no one else has. Join our team to take a rigorous approach to understanding the market and building computer-driven trading strategies.
We’d like to help you discover something about the world that no one else has. Join our team to take a rigorous approach to understanding the market and building computer-driven trading strategies.
Systematic business launched
years average PM tenure at Cubist
team members
as of 6/1/2024
Cubist designs and implements systematic, computer-driven trading strategies based on rigorous research to invest across multiple liquid asset classes. Our teams around the world develop their investment theses from our extensive access to a wide range of publicly available data. Our colleagues come from other firms, related fields, and directly from academia. Whatever your background, here we all share a passion for problem solving, strong technical skills, and a commitment to the highest professional and ethical standards.
Our team includes exceptional individuals who share intellectual curiosity, hands on coding skills, and a passion for excellence. Many are advanced degree holders (MS or PhD) in statistics, computer science, mathematics, physics, operations research, finance, or other quantitative disciplines. We also look for experienced developers who have deployed systematic trading approaches across liquid asset classes including equities, fixed income, FX, and volatility instruments. Relevant programming experience includes Python, C++, Java, C#, MATLAB, R, Q, or Perl.
If you are ready to apply your quantitative research and development skills to the challenge of the global financial markets, our team has endless opportunities.
If you are interested in joining us from university, we have a number of programs designed to help you learn our industry and start your career with us.
If you are ready to apply your quantitative research and development skills to the challenge of the global financial markets, our team has endless opportunities.
Our Quantitative Portfolio Managers lead teams that design and implement systematic trading strategies across liquid asset classes.
Develop and improve models for predicting future returns on financial markets using statistical analysis, machine learning techniques, and probability theory.
Manage proprietary software throughout its life cycle and work with portfolio managers and business leads to implement systematic trading strategies.
Identify promising data sets, build processes and tools, perform statistical analysis, and search for signals in the noise.
If you are interested in joining us from university, we have a number of programs designed to help you learn our industry and start your career with us.
Our year-long rotational program for quant researchers can help set you on the path to success in your systematic investing career.
Our year-long rotational program for quant developers will embed you in investing teams and prepare you for a career with Cubist.
As an intern, you’ll apply your expertise to the challenges of the market while learning market prediction and systemic investing techniques.
Build financial industry expertise to complement your engineering skills as you enhance our trading platform and research infrastructure.
We find many of our candidates through internal referrals. If you know someone who works here–please reach out!
Building a career here gives you the opportunity to develop deep domain expertise in finance, do groundbreaking research, and collaborate closely with accomplished peers. You will work with your colleagues, managers, and a pool of external experts to improve your team’s trading models while working to achieve your personal and career goals.
In addition to doing our own novel research, we remain deeply connected to the broader academic and industrial research communities by attending and sponsoring many conferences. We also conduct in-house seminars with academic speakers doing path-breaking work in finance, statistics, and other disciplines.
Working with dedicated and capable (and nice) colleagues is essential to being able to move with speed and agility. We try to share wheels, not re-invent them, so individual discoveries can most quickly lead to products or process improvements that have quantifiable and verifiable results in the real world.
With the world’s data at our fingertips, we pursue challenging problems with passion. We’re curious about how things work, and our exploration often leads to the discovery of patterns of behavior which can be translated into a practical trading strategy. Sometimes we just learn neat stuff.
The complexity and real-time feedback of global financial markets are rife with opportunity. We are experimental and iterative in our approach to generating predictive insights and taking risk, with a scoreboard that moves in dollars and cents.
President, Cubist Systematic Strategies
Denis Dancanet leads our quantitative investing business, and since joining in 2020 has grown the number of investment teams by 25% and initiated the effort to build out a centralized quant team. He started his career at PDT Partners as an equity statistical arbitrage researcher, growing to lead several strategic initiatives including helping launch PDT as an independent hedge fund.
Read BioWe want all our candidates to have the greatest chance of success here. Our interview tips are designed to help you understand what to expect and how to prepare for an opportunity to join our team.
Working here, you’ll find a flat, entrepreneurial structure and colleagues as dedicated to innovation and excellence as you are. Our culture of mentorship and development can help you build a long-term career and make an impact on our business.
Driven by our Mission and Values, we are dedicated to contributing to a more just and sustainable world and focused on nurturing our inclusive and community-driven culture. We welcome all employees to join our affinity groups and to give back through our Community Matters volunteering opportunities.