Quantitative Researcher at Belvedere Trading | Chicago

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 Belvedere Trading as a Program Manager and play a vital role in steering our projects towards success. You will be responsible for overseeing and coordinating various programs, ensuring that they align with our strategic objectives and are delivered on time and within budget.Your expertise will guide project teams through the project lifecycle, from inception to completion, fostering collaboration and communication among stakeholders to achieve optimal results.

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

Belvedere Trading is a premier proprietary trading firm located in the heart of downtown Chicago. We pride ourselves on our traders who diligently work to provide liquidity to the market through expert market-making across a variety of commodities, interest rates, exchange-traded funds (ETFs), and equity index options. From our inception, we have continuously invested in our proprietary technology, dedicating ourselves to building robust systems from the ground up. Our trading models and software systems undergo constant re-engineering, optimization, and maintenance to ensure we remain leaders in the industry. This achievement is driven by our technology teams, who expertly leverage and refine our innovative technology solutions. At Belvedere, high-performance proprietary development is the cornerstone of our success and competitive edge, fueling our unwavering passion for performance. We are a team driven by intellectual curiosity, constantly searching for insights that will transform not only the way we trade in this technology-driven era but also the future of the trading industry. We place significant emphasis on defining, developing, and deploying high-performance trading software through a collaborative, team-oriented approach. We seek enthusiastic team members whose contributions are vital to our ongoing success.Our team is in search of Software Engineers who specialize in creating high-performance trading systems. As a Software Engineer, you will play a key role in establishing technical standards and significantly contributing to the technical architecture and engineering practices within our teams. You will collaborate with Belvedere Quantitative Analysts and fellow Software Engineers to address challenges in programming, technology, mathematics, and finance by developing high-quality, high-performing, and architecturally sound systems aligned with our business objectives. We are looking for individuals capable of solving complex technical problems in a dynamic and fast-paced environment.

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

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.

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.

Belvedere Trading, based in Chicago, is a proprietary trading firm focused on market-making across commodities, interest rates, ETFs, and equity index options. The firm relies on in-house technology, with teams dedicated to building and refining trading models and software for optimal performance. Technology plays a central role in maintaining Belvedere Trading’s position in the industry. The Technology Department is expanding and looking for a Software Quality Assurance Analyst. This role centers on ensuring the reliability and quality of proprietary software used throughout the firm. The work involves learning the details of all in-house applications and how they support trading activities. Role overview The Software Quality Assurance Analyst develops and maintains test plans and test cases for Belvedere’s software. Responsibilities include coordinating and performing testing, analyzing results, and providing feedback to Software Engineers. The analyst also works with automation engineers, business analysts, and team leads to support automation strategies and confirm that each software release meets required standards before deployment. What you will do Create and execute detailed test plans and cases for proprietary applications Coordinate and carry out manual and automated testing protocols Analyze test results and communicate findings to software engineering teams Collaborate with automation engineers and business analysts to advance automation efforts Support daily software deployments by verifying adherence to quality standards Growth and development This position provides a strong foundation in software testing and scripting, with opportunities to move toward automation engineering roles in the future. Collaborative teamwork and attention to detail are valued in this environment.

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.

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 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.

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

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 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.

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 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.

3Red Partners LLC, a leading proprietary trading firm based in Chicago, is actively searching for a Quantitative Analyst to join our dynamic team. We are dedicated to harnessing cutting-edge technology and mathematical principles to devise competitive trading strategies. Our team comprises seasoned professionals with extensive global experience across diverse asset classes, risk management, and advanced trading technologies. We prioritize hiring exceptionally talented and driven individuals who can collaborate and excel in the fast-paced world of financial markets. As a Quantitative Analyst, you will have the opportunity to operate from one of our offices, focusing on enhancing and optimizing both current and future trading prospects. We are on the lookout for a candidate eager to make a tangible impact, contribute significant value, and work alongside an experienced team.

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.

About Akuna Capital:Akuna Capital stands at the forefront of trading innovation, emphasizing collaboration, advanced technology, data-driven solutions, and automation. Our primary focus is as an options market-maker, dedicated to offering competitive quotes for buying and selling. To achieve this, we engineer and implement our proprietary low-latency technologies, trading strategies, and mathematical models.Founded by visionary partners in Sydney, Akuna made its mark by establishing its first office in Chicago in 2011, strategically located in the epicenter of the derivatives and options market. Our global footprint has expanded to include additional offices in Sydney, Shanghai, London, and Singapore.Your Role as a Quantitative Strategist:We are seeking talented Quantitative Strategists to join our dynamic Quantitative Trading and Research team, a collective of mathematicians, statisticians, and technologists. The ideal candidate will significantly contribute to the development and refinement of our trading strategies by harnessing quantitative expertise and a profound understanding of financial markets. This role presents a unique opportunity to influence our trading decisions and overall performance directly. We are looking for individuals with robust programming skills, a creative approach to problem-solving, and an enthusiasm for the complexities of financial markets.