Quantitative Research Intern (PhD) - Summer 2027

IMC

Our 10-week internship is your chance to experience life as a Quant Researcher at IMC. You will work alongside your mentor to explore new research ideas and build custom analysis tools that may be deployed into production. Throughout the summer, there will be opportunities to enhance your knowledge of options theory, market making, algorithm complexity and trades analysis. We provide a highly competitive compensation package with accommodations included. The bar for talent at IMC is high and interns who meet our performance expectations will have the opportunity to secure a full time Graduate Quant Researcher position at the end of the program.  Where you go from here is up to you! Your Core Responsibilities: * Team up with Quant Researchers to work on real projects that have potential to impact our business * Enhance your understanding of options theory through classroom-based instruction * Develop your research skills with support and feedback from a dedicated mentor and intern lead * Build valuable connections in an environment that recognizes and rewards problem solving, innovation and teamwork * Engage in professional development sessions aimed at helping you envision your future at IMC * Attend a full-schedule of events and social activities to get to know your cohort and current employees Your Skills & Experience: * Current university student graduating between September 2027 – July 2028 that is pursuing a Bachelor’s or Master’s degree in Mathematics, Engineering, Statistics, Physics, Computer Science, or another highly quantitative field * Superior numerical, analytical, and critical thinking skills * Has a passion for research and solving complex problems * A creative thinker who is driven, resilient, and eager to develop trading intuition * Experience in a programming language (Python, C, C++) is highly desired * Must be able to start internship in-person on June 7, 2027 You may submit one application per role each year.  We strongly encourage you to focus on applying to a single role that best matches your skills and interests.  Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027. The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Base Salary: $250,000 About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

IMC

Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10–12 weeks, you'll work alongside experienced researchers and mentors to develop models, analyze large-scale datasets, and contribute to research that informs IMC's trading strategies across global equities, futures, and options markets. You'll gain hands-on experience designing experiments, evaluating novel approaches, and tackling challenging problems in a collaborative, fast-paced environment where your work can have real-world impact. Throughout the program, you'll deepen your understanding of quantitative trading through a combination of classroom and on desk training, while benefiting from professional development and networking opportunities. We offer a highly competitive compensation package, including travel and accommodation. High-performing interns may be considered for a full-time Graduate Researcher position upon graduation. YOUR CORE RESPONSIBILITIES: * Conduct hands-on research to design, develop, and apply original machine learning algorithms, with the support to explore and innovate. * Analyze large-scale datasets, develop predictive models, and evaluate novel approaches to complex market problems * Develop your research skills through hands-on project work, mentorship, and regular feedback from experienced researchers * Enhance your understanding of quantitative trading through classroom-based instruction in options theory, market making, and related topics YOUR SKILLS AND EXPERIENCE: * Pursuing a PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, or a related quantitative field and graduating between September 2027 – July 2028 * Strong foundations in machine learning, probability, and statistics, with experience applying advanced ML techniques to solve challenging research or real-world problems * Demonstrated hands-on research experience in deep learning fundamentals such as neural network architectures, sequence modeling, training dynamics, or optimization * Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX * Demonstrated research excellence through publications, preprints, research internships, or significant research projects; publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferred * Must be able to start internship in-person on June 7, 2027 You may submit one application per role each year.  We strongly encourage you to focus on applying to a single role that best matches your skills and interests.  Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027. The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Base Salary: $300,000 About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

Qube Research & Technologies

Programme duration: From 3-6 months, starting in 2026.   Who qualifies: Penultimate or final year students completing a Bachelor's, Master's, PhD.  Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.   Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.    We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program.  Your future role at QRT    Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact.  As a Quantitative Research Intern, you could contribute to one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies:  Research  Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.   Trading   You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production.  We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us.  Your present skillset    * Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering    * High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus    * Coding skills required in at least one leading programming language (Python and C++ or C#)   * Experience in exploring large datasets across multiple time frames is a plus   * Capacity to multi-task in a fast-paced environment while keeping strong attention to detail    * Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.   * Excellent communication skills   * Fluent in English, any other language is a plus   Interviewing:    * Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests.   * Technical assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills.    * Interviews - Shortlisted applicants will proceed to interviews conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values.    We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)     QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance