Machine Learning Researcher at IMC Trading | Chicago, New York

Join IMC Trading, a leading global market maker, as a Machine Learning Researcher! Our central ML research team is dedicated to applying cutting-edge machine learning and deep learning techniques to tackle complex trading challenges. We are looking for talented quantitative researchers with a solid track record who can collaborate effectively with trading teams to develop, refine, and enhance predictive models and research tools. You will have the chance to engage deeply in feature engineering and alpha research while utilizing a diverse array of ML models and conducting innovative research on custom model development.

Join IMC Trading as a Machine Learning Research Lead, where you will leverage cutting-edge machine learning techniques to tackle complex trading challenges. In this pivotal role, you will spearhead the creation of a centralized machine learning environment that will be utilized across all trading segments at IMC. The ideal candidate brings a wealth of experience collaborating with researchers, traders, and engineers to develop and enhance a robust research platform that fosters innovation through machine learning. We believe that the key to success in research lies in a blend of machine learning expertise, statistical knowledge, trading intuition, and a pragmatic problem-solving approach. This role offers you the chance to delve deeply into feature engineering, apply diverse ML models, and engage in research focused on building custom algorithms.

Join IMC as a Machine Learning Engineer, where you will be instrumental in developing and deploying advanced machine learning models that enhance our global trading operations. Collaborate with top-tier researchers, hardware specialists, and software engineers to create innovative solutions that leverage GPU acceleration, distributed computing, and cutting-edge open-source technologies. Your contributions will significantly impact our trading strategies by streamlining experimentation cycles, fostering a culture of continuous improvement and innovation. This is a rare opportunity to tackle challenges at the convergence of machine learning and trading, allowing you to leave a lasting mark on the future of IMC's technology and trading prowess.

Role overview IMC Trading is hiring Quantitative Researchers in Chicago to strengthen its proprietary trading models and strategies. This position calls for strong mathematical and analytical skills to advance model development and support trading performance. Partial telecommuting is possible. Several roles are available under Requisition ID: 4453347101. What you will do Partner with traders to assess and enhance the effectiveness of IMC’s trading models using advanced quantitative methods. Develop techniques for collecting and analyzing historical market data, trading statistics, and alternative data sets, using findings to inform new strategies. Convert trading concepts into mathematical models, algorithms, and computational tools that align with trading objectives. Create custom data analysis solutions to investigate research ideas and build models for testing, visualization, and refinement of trading hypotheses. Apply rigorous quantitative analysis to address challenges in both new and existing trading strategies. Work with developers to integrate quantitative models into IMC’s proprietary trading platform. Follow internal best practices to ensure research and implementation remain consistent across IMC’s trading systems. Position details Location: Chicago, United States Partial telecommuting allowed Multiple openings Requisition ID: 4453347101

Role overview IMC seeks a Quantitative Researcher in Chicago to help shape and refine proprietary trading models. This position works closely with traders and developers, combining advanced mathematics and analytics to improve model performance. Partial telecommuting is permitted. Multiple positions are available under requisition number 4453348101. What you will do Collaborate with traders to assess and enhance IMC's trading models using mathematical and analytical techniques. Create quantitative methods for collecting and analyzing historical market data, trading metrics, and new data sources to support strategy development. Translate trading concepts into mathematical models, algorithms, and computational programs that match trading objectives. Develop custom tools for data analysis, explore new quantitative research ideas, and design models to test, visualize, and refine these ideas before rollout. Apply rigorous quantitative approaches to address complex problems in both new and existing trading strategies. Partner with developers to integrate new or improved models into IMC's trading platform. Follow internal best practices to ensure research, development, and implementation maintain a logical and consistent trading environment. Additional details Location: Chicago, United States Partial telecommuting allowed Requisition number: 4453348101 Multiple openings

As a Research Engineer at IMC Trading, you will be instrumental in developing advanced research platforms that support diverse asset classes and trading strategies. You will collaborate closely with quantitative traders and researchers to assess and implement innovative research ideas and methodologies across the organization. Your contributions will significantly enhance our trading strategies by accelerating experimentation cycles that promote ongoing innovation and improvement.Your Core Responsibilities:Design and develop high-throughput, scalable research platforms with a strong emphasis on data interactions, machine learning (ML) pipelines, and backtesting.Contribute to the design and deployment of deep learning models in a production environment.Establish tools that facilitate extensive experimentation at scale, ensuring versatility across various asset classes, time horizons, and trading strategies.Work collaboratively with quantitative researchers and traders to explore and evaluate new research concepts, while developing scientific libraries to disseminate insights.Assess and implement third-party tools (e.g., MLflow, Neptune, Ray) and lead the enhancement of our research infrastructure.Develop efficient processes to ensure reproducibility in research efforts.Create scalable model frameworks that can manage high-volume trading data and provide real-time, high-accuracy predictions.

Take the next step in your academic career with IMC! Fill out the form below to receive updates about exciting opportunities such as internships and fellowships tailored for PhD candidates.About UsIMC Trading is a dynamic global trading firm offering a state-of-the-art research environment supported by top-tier technology. Established in 1989, we have consistently played a vital role in financial markets, providing the essential liquidity that market participants rely on. With offices across the US, Europe, Asia Pacific, and India, our exceptional team of quantitative researchers, engineers, traders, and business operations professionals thrives in a collaborative and high-performing culture. Our commitment to innovation drives us to explore new markets, adopt groundbreaking technologies, and diversify our trading strategies, ensuring our continued success.

Join IMC, a leading technology-driven trading firm, as a talented C++ Software Engineer in our vibrant Chicago office. In this role, you will be instrumental in designing and crafting software solutions tailored to the unique hardware requirements of our global trading systems, with an emphasis on enhancing performance. Our innovative and fast-paced tech environment encourages teamwork and rapid iterations across international teams. You will identify new opportunities, tackle challenges, and contribute to groundbreaking technologies, making software development both exciting and rewarding, even amidst increasing complexity.

About the Internship IMC Trading is looking for a PhD Research Intern focused on Hardware Machine Learning to help advance machine learning techniques on custom hardware. This role centers on research that supports IMC's efforts to solve challenges in low-latency inference and hardware acceleration. What You Will Do Work with experienced engineers in a high-performance computing setting Design and manage an independent research project from start to finish Present research findings to the team Develop a prototype or benchmark that supports ongoing projects Location This internship is based in Chicago, United States.

IMC is on the lookout for skilled Network Engineers who are enthusiastic about designing and maintaining state-of-the-art, high-speed networks. In this role, you will collaborate closely with traders, developers, quantitative analysts, and performance engineers to architect, deploy, and uphold the critical infrastructure that supports our trading operations. Key Responsibilities: Architect, execute, and maintain the North American network infrastructure, focusing on low-latency networking, unicast and multicast routing, BGP, PIM-SM, performance optimization, gap analysis, and automation. Utilize existing tools to monitor and assess network health, while also proposing and developing next-gen monitoring solutions. Drive continuous improvements within the network environment by participating in automation initiatives (e.g., Bash, Python, Ansible, AWX). Ensure meticulous documentation of IMC’s network architecture, configurations, and operational protocols. Engage with external vendors, exchanges, and service providers to assess technological solutions, deploy new services, and resolve issues.

Join IMC Trading, an innovative leader in the financial industry, as a Quantitative Researcher specializing in Futures. We are seeking skilled professionals to design and enhance systematic trading strategies in the futures market. You will leverage IMC's extensive expertise in options trading and combine it with cutting-edge systematic strategies. Your role will involve executing large-scale data analyses and employing advanced machine learning techniques to generate forecasts that facilitate superior trading execution in the futures markets.As part of our expanding team, you will play a pivotal role in all areas of IMC's trading operations. Your contributions will extend beyond signal generation as you collaborate with developers to build and implement a comprehensive research framework that allows for the swift research, testing, and deployment of new ideas.

Join us at imc as we push the boundaries of technology by deploying machine learning directly onto custom hardware. This is an exceptional opportunity for you to build innovative solutions from the ground up, influence our technical research direction, and witness your contributions make a significant impact in one of the world's most demanding computing environments.At imc, we develop our own hardware, software, and infrastructure, which empowers you to tackle bottlenecks directly without waiting on vendors or dealing with restrictive abstraction layers. If you are eager to explore the limits of computational possibilities, we invite you to apply. We are looking for both researchers and seasoned engineers from diverse backgrounds. Prior trading experience is advantageous but not necessary.

Students interested in connecting with IMC Trading at Carnegie Mellon University (class of 2026) can sign up to receive updates on upcoming networking events and opportunities. Completing this form ensures you stay informed about IMC’s presence and activities at CMU. What to Expect Notifications about future IMC events at Carnegie Mellon University Information on career and networking opportunities for the class of 2026 Who Should Sign Up This is intended for CMU students graduating in 2026 who want to learn more about IMC Trading’s campus events and career paths. About IMC Trading IMC Trading is a global trading firm founded in 1989. The company focuses on research and technology to provide liquidity and support financial markets worldwide. Its team includes quantitative researchers, engineers, traders, and business operations professionals, working together across offices in the United States, Europe, Asia Pacific, and India. IMC values collaboration, high performance, and continuous improvement, and encourages innovation by exploring new markets and technologies.

Stay Connected with IMC Trading After ICLR 2026 IMC Trading welcomes interest from attendees at ICLR 2026. Completing our brief form is not a formal job application, but it helps us keep in touch and consider your profile for future roles. After the conference, our team will review submissions and reach out if your background matches upcoming opportunities. Locations Amsterdam, Netherlands Chicago, United States Hong Kong, Hong Kong Mumbai, India New York, United States Sydney, Australia We look forward to staying in contact and exploring how you might contribute at IMC Trading.

Role Overview imc is hiring a Business Strategist in Chicago. This role focuses on shaping key strategic initiatives and supporting the company’s growth. The strategist will analyze market trends, spot new opportunities, and work with teams across the business to build practical plans that match company goals. What You Will Do Study market trends and deliver insights to inform business direction Identify and assess opportunities for growth and improvement Collaborate with cross-functional teams to design and implement strategies Contribute to decision-making by providing clear, actionable analysis What We Look For Strong analytical and problem-solving skills Proactive approach to work and new challenges Ability to communicate insights and recommendations clearly Interest in supporting a culture of ongoing improvement This position is based in Chicago, United States.

Join our innovative research team at IMC Trading as a Quantitative Researcher - Data Curation. We are on the lookout for a detail-oriented and analytical individual who possesses extensive experience in curating and analyzing diverse trading-related data sources, including traditional market data and fundamental datasets. This role is pivotal in developing cutting-edge trading strategies, facilitating data-driven decisions, and collaborating with our trading, technology, and data acquisition teams.Key Responsibilities:Curate, cleanse, and validate extensive volumes of market data, with a primary focus on US equity and equity options.Integrate, preprocess, and evaluate both fundamental and alternative data sources.Collaborate with the data acquisition and global data teams to ensure high data quality.Design and maintain robust data pipelines for both research and live trading operations.Conduct data analysis and statistical modeling to detect market patterns and inefficiencies.Guarantee the accuracy, completeness, and timely delivery of datasets used in quantitative modeling.Document research methodologies, data provenance, and findings with exceptional clarity and reproducibility.Work alongside software engineers and traders to convert research into production-ready models and tools.Perform quantitative research and analysis to support and refine trading strategies.

Join IMC Trading as a Senior Quantitative Researcher, where you'll be an integral part of our options quant team. As a senior team member, you will lead pivotal projects and provide mentorship to junior researchers, fostering their growth in a dynamic trading environment.Your Key Responsibilities:Collaborate closely with trading and quantitative research teams to assess and refine existing algorithms.Leverage your understanding of systems, mathematical techniques, and trading to pinpoint enhancements for our trading system.Quickly research, test, and prototype innovative algorithmic ideas, preferably using Python.Oversee the high-quality implementation of ideas from inception to full-scale production trading.Guide and mentor graduate quantitative researchers.

Join the Trading Operations Team at IMC:IMC is on the lookout for a driven and enthusiastic Trading Operations Specialist to enhance and maintain our trading systems. As part of our dedicated team, you will tackle the daily challenges of managing a substantial data flow within a complex, low-latency infrastructure. This role offers exposure to a variety of technical and trading challenges while ensuring the high availability, stability, and performance of the entire trading environment.In this dynamic role, every day presents new challenges, allowing you to make a significant impact as part of a global team committed to excellence.

Belvedere Trading is a premier proprietary trading firm known for its commitment to innovation and excellence. Our team thrives on intellectual curiosity, constantly exploring new avenues that will not only transform our trading practices in this digital age but also reshape the future of the trading industry.Our traders excel at providing liquidity to the market through market-making activities, mastering a wide range of commodities, interest rates, exchange-traded funds (ETFs), and equity index options. They collaborate closely with our technology experts to continuously enhance and refine our trading systems, ensuring we remain at the forefront of the industry.Belvedere Trading is seeking a talented Quantitative Researcher to join our Quant Research & Development team. In this role, you will work hand-in-hand with traders and developers to design algorithmic solutions that span the entire process from idea generation to implementation, ultimately driving the firm’s profitability. Your quantitative research efforts will be pivotal in enhancing and diversifying our existing trading strategies, contributing significantly to our long-term growth.

Join IMC Trading during an exciting phase of global expansion. As we enhance our trading, technology, and research capabilities, building strong leadership and technical skills at scale has never been more essential.We are seeking a seasoned Learning Experience Designer to become a vital member of our global Learning & Development team. In this role, you will spearhead the creation and development of groundbreaking learning solutions that enhance performance, elevate leadership capabilities, and support IMC’s expanding global workforce. This is not your typical content production position; you will oversee comprehensive learning design projects, collaborate with business leaders, and partner with subject matter experts to assess needs, craft evidence-based solutions, and deliver engaging learning experiences across various regions.