Software Engineering Manager - Trade Selection

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 continuousl…

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.

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 Wehrtyou, a leading quantitative trading firm, where innovation meets excellence. Our mission is to leverage cutting-edge technology and build high-performance systems that drive our global trading operations. At Wehrtyou, we foster a collaborative environment that empowers engineers to tackle complex challenges and directly see the impact of their work.We are actively looking for talented Software Engineers with a strong foundation in programming and exceptional problem-solving skills. As part of our diverse teams, you'll engage in various exciting projects, such as:Optimizing distributed computation scheduling to enhance research efficiency.Enhancing developer experience through advanced tooling and AI integrations.Utilizing large language models (LLMs) to streamline operational support.Profiling system usage for both small-scale and large distributed computations.Creating systems that interface with trading venues to monitor and manage risk.

Hudson River Trading (HRT) is on the lookout for inquisitive and analytical engineers who thrive on working with data and tackling real-world technical challenges. Join our expanding Market Structure Analysis team in the role of Quantitative Latency Engineer, where you will leverage data-driven techniques to enhance trading technology and optimize real-time interactions with financial markets worldwide, including both traditional and cryptocurrency exchanges. No prior finance experience is required!Key Responsibilities:Drive significant enhancements to HRT’s low-latency trading systems.Examine large datasets to gain insights into the behavior of complex systems and networks under real-world conditions, including exchange technology and the performance of HRT systems.Create Python-based tools and scripts to effectively collect, clean, and visualize data in a clear and actionable format.Design and execute experiments to assess the impact of changes and identify areas for improvement.Work closely with HRT’s Algorithm Development, Trading Technology, and Business Development teams to discover, investigate, and implement improvements to HRT’s infrastructure.Engage with exchanges globally to deepen your understanding of their technology and remain abreast of changes and enhancements.

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.

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 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 Belvedere Trading, a premier proprietary trading firm based in the dynamic heart of Chicago. Our dedicated traders excel in providing essential liquidity to the market through strategic market-making, mastering a diverse portfolio of commodities, interest rates, exchange-traded funds (ETFs), and equity index options. From our inception, we have consistently invested in developing our proprietary technology, building our systems from the ground up. Our trading models and software systems are subject to ongoing re-engineering and optimization to maintain our industry leadership. This progress is driven by our skilled technology teams, who innovate and enhance our technological solutions.The Trading Data Fabric (TDF) team is responsible for creating and managing a robust data platform that empowers Belvedere to capture and stream high-volume, high-quality data while leveraging cloud-scale computing for quantitative research and trading. We oversee data pipelines that collect real-time market data, trading activities, and intricate internal valuation and position data, which feed into our real-time trading engines and data warehouse for comprehensive historical analysis.As a Software Engineer, you will play a crucial role in system development, pipeline implementation, data warehouse architecture, data quality automation, and operational oversight. You will engage in all phases of our software development lifecycle, from design and testing to deployment, driven by a passion for technology and a keen interest in financial markets.

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.

The Networks team is at the forefront of designing, building, and maintaining the robust communication infrastructure that powers our high-capacity, low-latency trading and data research environments, operating around the clock. Our network spans over 25 countries and more than 100 locations worldwide. We are seeking a Senior Network Engineer who possesses extensive experience in architecting and managing large-scale environments to meet the rigorous performance and availability standards of a leading algorithmic trading firm within the global financial sector.This role demands a blend of project management acumen and deep technical expertise. Collaborating with some of the brightest minds in the industry, you will take charge of product selection, design, routing configurations, and troubleshooting. You will work closely with our Systems and Trading Operations teams, along with other departments at HRT, to construct, oversee, and monitor our low-latency trading network. Your responsibilities will be wide-ranging, allowing you the autonomy to analyze challenges and devise solutions that will have an immediate and significant impact on our global operations.We are looking for a technology enthusiast who thrives on tackling complex problems. You will engage in various projects aimed at enhancing the performance and capacity of our global trading and research platforms while contributing to both strategic initiatives and the intricate details of our network architecture.

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 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.

What You’ll Do:Join our dynamic and innovative team as a Junior Software Engineer, where you will play a pivotal role in designing and developing the technologies that drive our trading operations in the financial markets. Being a vital part of a fast-paced and forward-thinking company, you will engage with exciting challenges across programming, networking, technology, and finance. Your primary responsibilities will focus on the development and enhancement of essential trading applications that significantly contribute to Valkyrie’s success.

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.

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 NinjaTrader as a Lead Software Engineer and play a pivotal role in enhancing our cutting-edge trading platform. As a key member of our technology team, you'll be responsible for designing, developing, and deploying innovative solutions that empower traders worldwide. Your expertise in Java and C++ will be instrumental in creating high-performance software that meets the needs of our growing user base. We are looking for a passionate engineer who thrives in a fast-paced environment and is eager to push the boundaries of technology in the trading industry.

Key Responsibilities: As a Mid-Level Software Engineer at Valkyrie Trading, you will be an essential part of our multidisciplinary team, developing and implementing the innovative technologies that facilitate our trading operations in the financial markets. Your responsibilities will extend beyond mere implementation; you will take charge of critical applications, guiding their development and ensuring their long-term reliability. In this dynamic and fast-paced environment, you will engage in the entire project lifecycle, from initial design sessions to providing live production support. Collaborating closely with traders, quantitative analysts, and fellow engineers, you will translate business requirements into effective technical solutions. Your contributions will significantly impact Valkyrie's success, requiring the foresight to address pressing technical challenges while safeguarding the integrity of our extensive trading infrastructure. You will have the opportunity to make a real difference by working on our expanding portfolio of essential trading applications.