High-Frequency Trading System Engineer

Role overview Trexquant is looking for a High-Frequency Trading System Engineer in New York, New York. The focus of this position is to build and enhance ultra-low-latency trading infrastructure. Working closely with quantitative researchers and fellow technologists, the engineer will drive ongoing system improvements and innovation. What you will do Design and implement high-frequency, low-latency trading systems. Assess the current execution platform and lead a complete redesign. Increase system performance at both hardware and software layers, including optimizing CPU architecture, memory and cache usage, and network interfaces. Maintain a clean, well-tested, and thoroughly documented codebase. Requirements Advanced C++ and Linux skills, with strong understanding of low-level memory management, concurrency, and performance tuning. Experience building ultra-low-latency, high-throughput systems, ideally in trading or real-time environments. Expertise with profiling tools and methods for latency measurement and performance benchmarking. Hands-on knowledge of network protocols such as TCP/UDP, multicast, Ethernet, and low-latency messaging frameworks. Strong analytical and problem-solving abilities. Benefits Competitive base salary, with both guaranteed and performance-based bonuses linked to individual and company outcomes. Supportive, collaborative, and results-driven culture. PPO health, dental, and vision insurance for employees and dependents. Pre-tax commuter benefits. Additional company perks. Location details Applications are accepted for both the Stamford and New York City offices. The New York City location is expected to open in October 2026. Compensation Base salary ranges from $175,000 to $200,000, depending on education and experience. This is an overtime-exempt position. Trexquant is an Equal Opportunity Employer.

Role overview Trexquant Investment LP is hiring an experienced Software Engineer in New York to focus on high-frequency trading systems. This position centers on developing and refining high-performance infrastructure that supports independent trading activities. The work brings together collaboration with researchers and technologists and the autonomy to deliver solutions that directly affect trading performance. What you will do Design and optimize short-term trading signals for high-frequency strategies. Enhance trading workflows to improve scalability and reduce latency. Write clean, maintainable, and well-tested C++ code for real-time trading applications. Analyze and improve system performance, focusing on software and Linux environments. Collaborate with researchers and technologists to bring new concepts into production, while also managing projects independently with minimal supervision.

Trexquant Investment LP is on the lookout for a talented and experienced Software Engineer with advanced proficiency in C++ and practical experience within high-frequency trading environments. In this pivotal role, you will be responsible for designing, implementing, and optimizing high-performance short-term trading signals that directly enhance trading performance. You’ll work closely with innovative researchers and technologists while also demonstrating the ability to operate independently in building systems that yield measurable results.Key ResponsibilitiesCreate, construct, and optimize high-performance short-term trading signals.Enhance and support independent trading workflows to ensure robust, scalable, and low-latency performance.Write clean, maintainable, and thoroughly tested C++ code for real-time trading systems.Profile and enhance system performance across software and Linux environments.Collaborate with researchers and technologists to transform ideas into production-ready implementations while effectively working with minimal supervision.QualificationsExpert-level proficiency in C++ and Linux, with a strong background in developing high-performance, latency-sensitive systems.A minimum of 2 years of quantitative development experience in high-frequency trading or similar real-time environments.Bachelor’s, Master’s, or PhD in Computer Science or a related STEM field.Strong analytical and problem-solving abilities.Demonstrated capability to work collaboratively and independently with minimal supervision.

Atto Trading is a leading quantitative trading firm that employs a portfolio of signal-driven high-frequency trading strategies across cash equities and futures markets.We are currently seeking a dedicated Trading Operations Engineer to enhance our team. As we embark on expanding into new markets, it is an exhilarating time to join our diverse group of professionals specializing in trading, statistics, engineering, and technology. Our methodical approach, paired with rapid market feedback, enables us to transform innovative ideas into profitable outcomes swiftly. We foster a collaborative and educational environment where we tackle some of the most challenging problems in the industry together.As a compact firm, we maintain agility and uphold the highest standards of integrity, creativity, and diligence.Our Trading Activities:We execute trades on nearly all US exchanges, including NASDAQ, NYSE, ARCA, Cboe, CME, CFE, and more.Key Responsibilities:Oversee and manage Atto Trading’s automated trading systems to ensure seamless operations.Conduct proactive analyses and enhancements of trading pipelines by developing scripts to automate and optimize daily trading processes and reporting mechanisms.Collaborate with traders, engineers, brokers, and exchanges to address and resolve intraday issues in real time.Engage directly with exchanges and clearing members to investigate and resolve live trading discrepancies.Partner with software engineering teams to refine and sustain trading infrastructure and internal monitoring systems.Automate and enhance trading support workflows and pipelines utilizing Python and Bash scripting.Support daily risk operations through report generation and execution of established risk protocols.Document production incidents while maintaining thorough logs and monitoring protocols.Manage and oversee enterprise systems related to pipeline scheduling, software releases, and operational monitoring.Assist in new market deployments by working closely with internal teams on infrastructure and connectivity.

Join Atto Trading, a pioneering quantitative trading firm established in 2010, at the forefront of high-frequency trading strategies. We are actively seeking a C++ Software Engineer to enhance our dynamic team in New York.Our diverse and international team comprises experts in trading, statistics, engineering, and technology. Our unique blend of disciplined strategies and swift market feedback enables us to transform innovative ideas into profitable outcomes. Here at Atto, we foster an environment of continuous learning and collaboration, allowing us to tackle some of the most complex challenges in the industry together. As a small firm, we pride ourselves on our agility and commitment to integrity, creativity, and hard work.Position Highlights:As we modernize our trading and research platform to expand our alpha trading operations, you will play a pivotal role in developing a platform that empowers researchers to explore, test, and deploy complex signals, models, and strategies across various asset classes in a fully automated and robust manner, all while adhering to stringent latency targets. Your contributions will be crucial in building, maintaining, and supporting this platform.Responsibilities:Design, develop, and maintain our leading global trading platform using low-latency C/C++ systems specifically for high-frequency trading (HFT), consistently improving its performance, functionality, and stability.Conduct rigorous testing and engage in thorough code reviews to ensure high-quality standards.Integrate advanced networking hardware interfaces (FPGA, kernel-bypassing drivers).Exhibit proactive decision-making and self-direction, while knowing when to seek assistance.Investigate and propose enhancements for platform performance.Requirements:A minimum of 2 years of experience in developing high-frequency trading platforms and trading systems.Proficiency in C/C++, particularly modern C++ within a Linux environment.Expertise in profiling and optimization techniques.Strong understanding of Object-Oriented Programming (OOP), Multithreading, and Inter-Process Communication (IPC).Bachelor's degree or higher in Computer Science, Computer Engineering, or a related field.Meticulous attention to detail, a commitment to maintaining high standards, and a critical mindset.Able to juggle multiple tasks in a fast-paced environment.A proactive attitude towards building, learning, and achieving results.Desirable Qualifications:Familiarity with operating systems, including kernel-level understanding of device support in Linux.Knowledge of financial instruments such as Stocks, ETFs, Futures, and Options.Experience with various market data and order entry protocols (ITCH, OUCH, PITCH, CME MDP).A genuine interest in finance, trading, and contemporary electronic markets.Benefits:Competitive salary packagePerformance-based bonuses401(k) retirement planMental health support initiatives

About Us:Atto Trading is a forward-thinking quantitative trading firm established in 2010, recognized as a leader in high-frequency trading strategies on a global scale. We are on a mission to expand our diverse, international team of experts in trading, statistics, engineering, and technology. Our disciplined methodology, paired with swift market feedback, empowers us to rapidly transform innovative ideas into profitable results. As a compact firm, we pride ourselves on our agility and unwavering commitment to integrity, creativity, and diligence.Role Overview:We are seeking a proactive and skilled Head of Infrastructure to lead a dynamic engineering team through a pivotal phase of business expansion. This role entails setting strategic direction and delivering critical initiatives within a hybrid environment while maintaining close collaboration with various stakeholders. The ideal candidate will exhibit a blend of technical expertise and team leadership, thriving in a fast-paced atmosphere and dedicated to developing scalable, secure, and highly automated platforms.Key Responsibilities: Lead and mentor an infrastructure team of 7 engineers during significant organizational growth. Oversee essential infrastructure areas such as CI/CD, networking, hardware performance tuning, data platforms and pipelines, scalable computing, security, and access management. Enhance engineering standards through the application of established industry best practices. Champion modernization and upgrades of key stack components with full management support. This hands-on role requires 60-80% technical involvement, reflecting our commitment to maintaining high productivity and profitability per employee.

Man Group plc is a global alternative investment manager with $227.6 billion in assets under management as of December 31, 2025. The company operates in both public and private markets, emphasizing alternative investments and research-driven strategies. Headquartered in London and listed on the London Stock Exchange (EMG.LN), Man Group is part of the FTSE 250 Index, with offices in multiple regions worldwide. More information can be found at www.man.com. Team Overview The High-Frequency Quantitative Research team, based in New York, is part of Man Global Markets. This group manages execution across all Man Group investment engines, asset classes, and regions. The team specializes in researching and building low-latency trading strategies and proprietary execution algorithms. Members are involved in every stage of trading strategy development, using custom machine learning research and monetization tools. Internship Focus This summer 2026 internship centers on quantitative research within high-frequency trading. Interns will contribute to projects involving advanced trading strategies and the development of execution algorithms. The role provides exposure to the full lifecycle of strategy development, from research to implementation. Who Should Apply? This internship suits individuals interested in quantitative finance who want to work on advanced trading strategies. Curiosity, motivation, and an interest in innovative projects are valued qualities for this team.

Atto Trading, a leading quantitative trading firm established in 2010, is at the forefront of global high-frequency trading strategies. We invite a passionate Low-Latency Developer to enhance our dynamic team.Our diverse and international workforce comprises experts in trading, engineering, technology, and statistics. We pride ourselves on a disciplined approach complemented by rapid market feedback, enabling us to swiftly transform innovative ideas into profitable outcomes. In our collaborative and educational environment, we tackle some of the most complex challenges in the industry, maintaining a commitment to integrity, ingenuity, and excellence.Position Highlights:As we modernize our trading and research infrastructure to expand our alpha trading capabilities, this platform will empower researchers to analyze, test, and implement advanced signals, models, and strategies across various asset classes while meeting stringent latency requirements. In your role as a Low-Latency Developer, you'll be instrumental in designing, optimizing, and maintaining high-performance trading systems to ensure minimal latency.Your Mission and Goals:Evaluate and enhance the performance of low-latency trading systems by pinpointing bottlenecks and inefficiencies in the code, and implementing robust solutions.Adapt and develop our platform to meet the rigorous demands of a fast-paced trading environment, effectively managing technical debt.

Hudson River Trading seeks a Trading Systems Engineer to join the Trading Systems Infrastructure team. This group builds and maintains the technology behind global trading operations. Their work supports high performance and reliability for the ultra-low latency operating systems, automation tools, and development platforms that keep trading strategies running worldwide, around the clock. Role overview The Trading Systems Engineer will help support and improve real-time production trading environments. The work centers on solving challenges that require high availability, high throughput, and ultra-low latency. This role contributes to the development and automation of essential infrastructure components, working alongside a team committed to keeping trading systems operating smoothly at all times. What you will do Support and improve real-time production trading environments Address challenges involving high availability, high throughput, and ultra-low latency Contribute to developing and automating critical infrastructure Collaborate with a team focused on system reliability and uptime Requirements Experience with coding and automation Strong interest in enhancing technology stacks Ability to solve complex technical problems in demanding environments Comfort working where uptime and performance are essential Locations Austin, TX, United States Boulder, Colorado, United States Chicago, Illinois, United States London, United Kingdom New York, NY, United States Seattle, Washington, United States

Join the Institutional Fabric of the Digital Asset MarketFounded in 2018, Talos Trading is at the forefront of providing institutional-grade trading technology for the global digital asset market, empowering leading entities within the crypto ecosystem. Our mission is to facilitate the widespread adoption of digital assets by effectively connecting institutions to the digital asset landscape. We are dedicated to creating the most innovative and reliable platform globally, supporting every aspect of the trading lifecycle.At Talos, we cultivate an environment that promotes kindness, respect, and inclusivity. We value diverse perspectives and believe that each team member contributes unique insights that propel Talos forward. Our culture is built on trust, integrity, collaboration, and collective growth.Our team is a close-knit, globally distributed group of seasoned engineers and business leaders, with offices in New York, London, Singapore, and Cyprus. In our hybrid-friendly setting, whether working from the office or remotely, your individual skills and insights will be essential in building something exceptional.Client Services Engineer RoleWe are seeking a seasoned client-facing engineer who will play a pivotal role in supporting our customers within a dynamic, 24/7 global digital asset trading environment. This essential position will contribute significantly to client success and the overall stability of our trading systems.

Hudson River Trading is hiring a Junior Trading Systems Engineer to join its Trading Systems Infrastructure team. This group is responsible for designing, building, and maintaining the high-performance infrastructure that supports the firm's global trading operations. The focus is on ensuring reliability and efficiency for ultra low-latency operating systems, automation tools, and platforms that keep trading strategies running around the clock. Key responsibilities Contribute to projects within a real-time trading environment Address challenges that demand high availability, high throughput, and ultra low-latency solutions Support the maintenance and improvement of core infrastructure for global trading systems Assist in developing and automating tools that back trading operations What we look for Strong interest in coding and automation Willingness to learn new skills and technologies to work with a complex technical stack Ability to solve technical problems in a demanding setting Locations Chicago, Illinois, United States London, United Kingdom New York, NY, United States

Trexquant is on the lookout for a seasoned technologist to spearhead the design and advancement of our essential trading, research, and simulation infrastructure. This pivotal role encompasses the architecture and development of scalable, low-latency systems within Linux environments, fostering close collaboration with quantitative researchers and engineers, and pioneering the next generation of simulation and execution platforms.Key ResponsibilitiesLead the design, development, and enhancement of core infrastructure systems that underpin trading, research, and operations, integrating seamlessly with the firm’s Order Management System (OMS).Architect and construct a high-performance, multi-asset simulation and backtesting platform that supports comprehensive strategy research, backtesting, and deployment across equities, futures, fixed income, and derivatives.Assess existing systems to identify performance bottlenecks and implement enhancements that improve scalability, performance, and security.Collaborate with quantitative researchers and cross-functional teams to ensure the platform accurately reflects market dynamics, transaction costs, and execution behavior, aligning technical endeavors with a long-term infrastructure strategy.Design and optimize scalable data and compute infrastructure for low-latency, high-throughput processing of extensive market data across simulation and production trading environments.Enhance caching, time-series management, and distributed computation while maintaining a modular and scalable simulation and backtesting framework.Oversee the development, integration, and deployment of systems and tools using C++, Python, and within Linux environments.Provide mentorship and technical guidance to engineers and researchers, while remaining abreast of emerging technologies and industry best practices.

About WintermuteWintermute is a leading algorithmic trading firm specializing in digital assets. We are at the forefront of providing liquidity across all major cryptocurrency exchanges and trading platforms, along with a wide range of OTC trading solutions. Our partnerships with high-profile blockchain projects and traditional financial institutions transitioning into the crypto space position us as a pivotal player in the digital asset markets. We don’t just trade; we actively contribute to the blockchain ecosystem through strategic investments, collaborations, and project incubation. For more details, please visit here.Why Join Wintermute?As a global company with offices in London and Singapore, we opened our US office in early 2025, anticipating significant growth in the coming years. This presents a unique opportunity for you to be part of the rapid expansion of Wintermute Americas. Role OverviewWe are looking for a DevOps Engineer to join our Liquidity Integration team in New York. The Liquidity team is integral to supporting Wintermute’s flagship OTC platform, which facilitates trading for thousands of counterparties via API and the Wintermute NODE platform. Your responsibilities will include designing efficient counterparty-centric integration and support processes, as well as providing operational support throughout the counterparty lifecycle.Your role will focus on global integrations and support, particularly during US business hours and for US counterparties. Collaboration with business development, product teams, traders, engineers, and our global DevOps teams in London and Singapore will be essential in ensuring counterparty technical integration, platform stability, performance, and resilience.

Trexquant seeks a Lead Trading Systems Engineer in New York to strengthen the core platforms behind the firm's trading and research activities. This position focuses on building, refining, and scaling the systems that underpin strategy development, simulation, and execution. Collaboration with quantitative researchers and engineers is central to expanding simulation and execution capabilities. Main responsibilities Design and enhance infrastructure supporting trading, research, and operations, integrating closely with the Order Management System (OMS). Develop a high-performance simulation and backtesting platform for equities, futures, fixed income, and derivatives, supporting research and strategy deployment. Analyze and improve existing systems, addressing performance bottlenecks and strengthening scalability, security, and reliability. Partner with quantitative researchers and cross-functional teams to align technical direction with infrastructure goals, including accurate modeling of market conditions and execution behaviors. Build and optimize data and compute infrastructure for low-latency, high-throughput processing of large-scale market data for both simulation and live trading. Advance caching, time-series data management, and distributed computation to ensure modular, scalable simulation and backtesting frameworks. Lead development, integration, and deployment of systems and tools using C++ and Python in Linux environments. Mentor engineers and researchers, offering technical guidance and keeping up with new technologies and industry standards. Location This position is based in New York, New York, United States.

Trexquant is an innovative systematic fund leading the charge in quantitative finance, backed by a team of exceptional researchers and engineers. As we expand our trading operations, we are focused on optimizing and redefining our quant platform. To facilitate this growth, we are looking for a skilled C++ Trading & Simulator Engineer to become part of our dynamic technology team, contributing to the development of next-generation trading systems and analytics platforms.In this role, you will collaborate closely with quantitative researchers and traders to design, develop, and enhance high-performance systems tailored for algorithmic trading. Your tasks will encompass building and maintaining core infrastructure for trading simulations, data pipelines, and low-latency execution platforms. The ideal candidate will possess a robust background in C++ development and experience in crafting scalable, low-latency, high-throughput systems.

Role overview The Trade Desk seeks a Senior Software Engineer in High Performance Computing to join the Rates & Fees Team in New York. The focus is on designing and building software that sharpens pricing models and boosts system performance for the digital advertising platform. What you will do Create software solutions that enable scalable and efficient pricing models. Apply advanced technologies to improve system performance and reliability. Work closely with data scientists and product managers to solve complex technical problems. Take part in projects that shape the company's standing in the digital advertising space. Team and collaboration This role sits within a team that emphasizes teamwork and open communication. Engineers, data scientists, and product managers partner to deliver software that addresses business needs and drives measurable outcomes.

Join IMC, a leading global market maker, as a Quantitative Researcher specializing in Equities. In this role, you will develop cutting-edge high-frequency, low-latency trading strategies and predictive models. Collaborate with a talented team to blend IMC's extensive options expertise with insights from the equity market. Your analyses will drive unique predictions of market behavior, which will be executed using our state-of-the-art technology across both options and equities markets.As a valued member of our growing team, you will be integral to all facets of IMC’s trading operations. Your contributions will extend beyond signal generation to collaborating with developers in designing and implementing a robust framework that fosters timely research, testing, and production of new ideas.

About Addepar Addepar is a global data and AI platform serving investment professionals. The platform brings together portfolio, market, and client data, offering AI-driven insights directly within investment and client workflows. Over 1,400 firms across nearly 60 countries use Addepar to manage and advise on approximately $9 trillion in assets. The open platform connects with nearly 650 partners in software, data, and consulting, supporting investment operations for a wide range of firms. Addepar has offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, and São Paulo. Role Overview The Order Management System (OMS) team at Addepar is hiring a Software Engineer with strong Java skills. This team develops the Trading Order Lifecycle Management system, which links investment intent to market execution. The platform connects portfolio managers to executing brokers, supporting accurate trade execution, allocation, and reporting. What You Will Do Develop and maintain high-performance systems for trading order lifecycle management Ensure accurate execution, allocation, and reporting of trades Collaborate with product and design teams Work with Agile methodologies and AI-assisted development tools Who We’re Looking For Experience with Java in a hands-on engineering role Attention to detail and a commitment to quality engineering practices Interest in trading systems and order management Comfort working in a collaborative, cross-functional team Legally authorized to work in the United States without current or future sponsorship Compensation and Benefits Addepar uses a market-driven approach to compensation. The base salary range for this role is $107,000 - $168,000, depending on skills, experience, qualifications, work location, and market conditions. This range applies to roles in Colorado, California, and New York. Bonuses, equity, and benefits are provided in addition to base salary. Your recruiter will share more details about the salary range for your specific location during the hiring process. The figures above reflect base salary only and do not include bonuses, equity, or benefits.

About Wintermute TradingWintermute Trading stands as one of the foremost algorithmic trading firms in the realm of digital assets. We excel in providing liquidity through advanced algorithms across major cryptocurrency exchanges and trading platforms. Furthermore, we offer a diverse array of OTC trading solutions and lend our support to prominent blockchain projects as well as traditional financial institutions transitioning into the crypto space. At Wintermute, we are not merely a trading entity; we are a critical and influential participant in the digital asset markets, forming strategic partnerships with key industry players. We are actively involved in the blockchain ecosystem's growth through targeted investments, collaborations, and project incubation.Join Us at Wintermute TradingWith a global presence that includes offices in London and Singapore, Wintermute Trading launched its US office in early 2025 and is poised for substantial growth in the coming years. This is a unique opportunity to contribute to the swift expansion of Wintermute Americas.Your RoleWe are on the lookout for an Algorithmic Trader who possesses strong coding skills in Python, a keen sense for trading, and a genuine curiosity about high-frequency trading (HFT), liquidity provision, and cryptocurrency trading. Following a brief training period with our global trading team, you will engage in projects that directly influence the profit and loss (P&L) of Wintermute USA's trading strategies. Your responsibilities will include analyzing extensive trading and transaction data, deriving actionable insights, prioritizing these insights, and formulating solutions based on your analyses. You will enjoy considerable autonomy and responsibility from the outset, while benefiting from the mentorship of seasoned crypto trading experts, facilitating rapid learning without the constraints of outdated systems or corporate red tape. Your impact will be significant, with no limits imposed by the company!