PhD Research Internship in Hardware Machine Learning

Chicago Trading Campus (CTC) is a pioneering proprietary trading firm committed to innovating how the world prices and manages risk. Our vibrant and trusting culture fosters collaboration and inspires us to tackle the industry's toughest challenges while taking calculated risks in a supportive environment.We aspire to be the most innovative firm in the industry, now and in the future, while maintaining our commitment to ethical excellence. CTC positively impacts the markets, enhances the lives of our employees, and contributes to the communities we serve. Established in 1995 by a team of visionary traders, we proudly stand as an industry leader dedicated to continuous improvement.The RoleAs a Systematic Quantitative Researcher, you will be at the forefront of innovation, working collaboratively in a dynamic environment. You will partner closely with fellow researchers, traders, and engineers to address quantitative challenges, develop trading strategies, conduct back-testing, perform statistical analyses, and design systems. Our culture of collaborative innovation and intellectual curiosity encourages us to celebrate our successes while continuously pushing the boundaries of our creativity. This is a unique opportunity to apply scientific methodologies to real-world business challenges within one of our Quant teams at CTC!We emphasize team alignment during the hiring process, ensuring that candidates are matched with either our Vol Overlay or Delta Force teams based on their strengths and interests, while also meeting the firm’s strategic needs.

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.

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.

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

Join our innovative team at Maven Securities Holding Ltd as a Senior Quantitative Researcher specializing in Options Market Making. In this pivotal role, you will leverage advanced quantitative techniques and analytical skills to enhance our trading strategies, optimize performance, and drive profitability. Collaborate with cross-functional teams to analyze market trends and develop robust models that will inform our trading decisions.

Role Overview:As a Quantitative Researcher at Valkyrie Trading, you will leverage your quantitative expertise to tackle intricate challenges in financial modeling, algorithm creation, and system optimization. You will collaborate closely with traders and software developers in a dynamic environment aimed at enhancing Valkyrie's sophisticated algorithmic framework. Your responsibilities will encompass developing tools for traders, generating innovative trading concepts, crafting algorithms from the ground up, automating and refining existing strategies, and analyzing system performance for optimization. Additionally, you will keep traders informed about market developments, tools, and models integral to Valkyrie's trading operations.Specialization Areas:Quantitative Researchers at Valkyrie focus on one of two specializations: modeling or execution. Those in modeling are tasked with designing automated market-making and risk management algorithms, as well as developing statistically grounded position-taking strategies. Execution-focused researchers will conduct post-trade analyses, investigate system behaviors, optimize algorithm parameters, study market microstructures, and enhance execution systems.This position is intended for experienced professionals. Candidates with over 3 years of relevant experience may qualify for a Senior-level role.

Akuna Capital is hiring a Junior Quantitative Researcher to focus on prediction markets in Chicago, IL. This position offers the chance to work alongside seasoned researchers and contribute to the development of trading strategies. Role overview This role centers on analyzing market data and refining predictive models. Junior researchers collaborate with the team to improve existing strategies and explore new approaches in prediction markets. What you will do Work with experienced researchers to develop and test trading strategies Analyze large sets of market data to identify trends and opportunities Help enhance predictive models used in trading decisions Requirements Interest in quantitative research and prediction markets Strong teamwork and communication skills Motivation to build a career in quantitative finance

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.

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

Akuna Capital is seeking a Quantitative Researcher focused on prediction markets to help shape trading strategies. This position is based in Chicago, IL. Role overview This role centers on building and refining quantitative models that guide trading decisions in prediction markets. Analytical skills will be essential for developing approaches that support the firm's trading platform. Collaboration Work closely with a team of professionals who share a commitment to innovation. The environment encourages teamwork and values input from researchers who can translate data into actionable insights. What you will do Develop and test quantitative models for prediction market trading Analyze data to inform and improve trading strategies Collaborate with team members to advance the firm's trading platform

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.

About Akuna: Akuna Capital is a pioneering trading firm dedicated to fostering collaboration and leveraging cutting-edge technology to deliver data-driven solutions and automation. As a leading options market-maker, we pride ourselves on providing competitive quotes for both buying and selling. To achieve this, we develop and implement our own low-latency technologies, trading strategies, and mathematical models. Founded by a group of partners in Sydney, Akuna established its first office in Chicago in 2011, strategically located in the heart of the derivatives industry and options capital of the world. Today, we proudly operate from additional offices in Sydney, Shanghai, London, and Singapore. What You’ll Do as a Quantitative Researcher at Akuna: Join our dynamic Trading and Research teams as a Quantitative Researcher, where you'll collaborate with a multidisciplinary group of mathematicians, statisticians, technologists, and traders. Together, we drive the development of innovative trading strategies and predictive models, blending quantitative rigor with an in-depth understanding of financial markets. Your analytical expertise will significantly contribute to our mission of enhancing trading performance and market efficiency.

Join IMC Trading, a premier liquidity provider in the US equity options market, as we expand our team of quantitative professionals. Our Chicago-based office is at the forefront of systematic trading, handling a diverse portfolio of thousands of underlying assets. At IMC, we foster a collaborative environment that integrates quantitative research, strategy development, and engineering, ensuring our teams work together seamlessly.As a Quantitative Trading Strategist, your role will focus on enhancing the design, evaluation, and execution of automated trading strategies in real-time markets. You will collaborate with teams in research and risk management to uplift pricing accuracy, execution efficacy, and the durability of our trading systems. Your contributions will have a substantial impact on the platform from the outset, allowing you to take ownership of your work and drive significant improvements.

At Jump Trading Group, we are dedicated to pioneering research that shapes the future of global financial markets. Our team comprises extraordinary individuals from Mathematics, Physics, and Computer Science backgrounds who are driven to push the boundaries of scientific exploration. We foster a unique culture that thrives on innovation, creativity, intellectual honesty, and a competitive spirit. Together, we believe in harnessing our distinct talents through collaboration and mutual respect. In our pursuit of excellence, we not only aim for superior risk-adjusted returns but also design, develop, and implement technologies that transform industries, support start-ups, and collaborate with top-tier research organizations and universities to tackle complex challenges. The quantitative trading teams at Jump delve into the intricacies of global markets, utilizing advanced statistical analysis, machine learning, and deep learning techniques to develop predictive trading models that drive profitability.

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.

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 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.

DV Trading seeks a Quantitative Trader specializing in equities for its Chicago office. This position centers on developing and executing trading strategies within equity markets. Role overview The Quantitative Trader will apply advanced quantitative skills to analyze market data and identify trading opportunities. Success in this role depends on a solid grasp of equity market dynamics and the ability to contribute directly to trading performance. Requirements Strong quantitative background Deep understanding of equity markets Experience shaping or executing trading strategies Based in or able to work from Chicago