Senior Software Engineer - High-Frequency Trading (USA)

Trexquant is a dynamic and innovative systematic fund leading the charge in quantitative finance. Our team comprises top-tier researchers and engineers dedicated to advancing our trading operations. We are making significant investments to enhance our quantitative research and trading platform, setting the stage for the future of systematic trading.We are on the lookout for an Early Career Software Engineer, equipped with robust programming capabilities, to join our engineering team. In this pivotal role, you will collaborate closely with seasoned engineers and quantitative researchers to construct the essential infrastructure that fuels systematic trading, encompassing data pipelines, backtesting tools, and execution systems. This is an exciting opportunity to engage in greenfield development projects, where you will play a crucial role in building new systems from the ground up, fostering innovation and efficiency in our technology stack.Key Responsibilities Engage in the full lifecycle development of low-latency, high-throughput research and trading systems utilizing C++, C, Java, or Rust. Design and optimize data processing pipelines to guarantee reliable access to large, high-quality datasets. Contribute to the development of tools for backtesting, model training, and strategy evaluation. Collaborate with researchers and traders to implement technical solutions that enhance research productivity and trading performance. Participate in code reviews, testing, and documentation to uphold high-quality standards. Keep informed about emerging technologies, tools, and best practices, introducing innovative ideas to continuously improve our systems. Qualifications Bachelor's or Master's degree in Computer Science or a related STEM field. Strong understanding of data structures, algorithms, and object-oriented programming principles. Proficiency in one or more programming languages such as C++, C, Python, Java, or Rust. Familiarity with Linux environments. Exceptional problem-solving skills and a keen ability to learn quickly in a team-oriented environment. BenefitsAttractive salary with performance-based bonuses.Supportive, casual, and friendly workplace culture.Full coverage of PPO health, dental, and vision insurance premiums for you and your dependents.Pre-tax commuter benefits.Weekly company meals.Applications are being accepted for both our Stamford and New York City offices, with the latter set to open in October 2026.The base salary range for this position is $130,000 - $175,000, determined by the candidate’s educational and professional background. The base salary is one aspect of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. This role is classified as overtime-exempt.Trexquant is proud to be an Equal Opportunity Employer.

At Trexquant, we are a pioneering systematic fund leading the way in quantitative finance, powered by a team of exceptional researchers and engineers. As we broaden our trading operations, we are committed to developing the next generation of our quantitative research and trading platform.We are looking for an enthusiastic Early Career Software Engineer with robust programming capabilities to join our dynamic engineering team. In this pivotal role, you will collaborate closely with seasoned engineers and quantitative researchers to design and enhance the infrastructure that drives our systematic trading, including data pipelines, backtesting tools, and execution systems. You will have the chance to engage in greenfield development projects, helping to construct new systems from the ground up and fostering innovation and scalability within our technology stack.

Join Trexquant as a dedicated Linux Systems Engineer, where you will play a pivotal role in constructing, managing, and scaling our on-premise infrastructure. This hands-on position emphasizes bare-metal Linux systems and offers significant ownership of server provisioning, storage management, and overall system reliability.The ideal candidate will be meticulous, highly disciplined, and adept at thriving in a challenging, production-critical environment. This role is specifically tailored for individuals with extensive experience in physical infrastructure, Linux internals, and automation within a high-performance context.Key Responsibilities:Construct, provision, and manage bare-metal Linux servers, overseeing OS installation, configuration, and lifecycle management.Take full ownership of server infrastructure from hardware through to the operating system and core services, ensuring optimal stability and performance.Configure and manage storage systems, including ZFS and enterprise storage platforms (e.g., NetApp, Dell, or similar).Monitor system health and performance, troubleshoot issues, and implement sustainable long-term solutions.Develop and maintain automation scripts using Ansible and Bash to standardize provisioning, configuration, and operational procedures.Conduct system patching, upgrades, and capacity planning across an expanding server fleet.Engage in incident response and root cause analysis, focusing on the continuous improvement of system reliability.Collaborate with engineering and infrastructure teams to optimize application performance on Linux systems.Contribute to documentation, runbooks, and operational best practices.Support data center operations as required, including hardware troubleshooting, racking, cabling, and server replacements.Occasionally travel to data centers for maintenance, expansions, and problem resolution.

Trexquant is hiring a Senior Data Architect to lead the creation of a new data platform for quantitative research and simulation. This role centers on building a scalable system that unifies data from hundreds of vendors, ensuring reliable and accessible information for research and alpha generation across multiple asset classes. Key Responsibilities Design and implement a data platform that consolidates vendor datasets, offering consistent, high-quality access for research and simulation teams. Develop storage and retrieval solutions to support large-scale historical backtesting and high-frequency research. Create user-friendly interfaces and APIs, enabling researchers to discover variables, review metadata, and assemble standardized datasets for rapid idea testing. Work closely with quantitative researchers and simulation teams to understand their requirements and ensure the platform meets analytical and performance needs. Set standards for data modeling, normalization, version control, and quality assurance across diverse asset classes and sources. Partner with infrastructure and DevOps teams to enhance data pipelines, caching, and distributed storage for improved scalability and reliability. Prototype and launch internal tools that improve research efficiency and data transparency. Mentor data engineers, supporting well-documented and maintainable data systems. Platform Scope The platform will handle data for a broad range of financial instruments, including equities, futures, FX, ETFs, corporate bonds, and options. The focus is on transforming raw vendor feeds into structured, analysis-ready datasets that enable systematic research and backtesting. Location This position is based in New York, New York, United States.

Trexquant is on the lookout for an exceptional Senior Data Architect to spearhead the design and implementation of a cutting-edge architecture for our research and simulation data ecosystem. This pivotal role will unify Trexquant’s vast array of datasets—sourced from numerous vendors—into a streamlined, efficient, and scalable data platform that caters to simulation, research, and alpha generation across diverse asset classes.The ideal candidate will construct the comprehensive data infrastructure that empowers researchers and simulators to effortlessly discover, query, and integrate datasets spanning equities, futures, FX, ETFs, corporate bonds, and options. This role entails designing effective data models, storage solutions, and user-friendly interfaces that facilitate the transformation of raw vendor data into structured, analysis-ready formats, thereby enhancing systematic research and robust backtesting.ResponsibilitiesDesign and execute a unified data platform that consolidates hundreds of vendor datasets, ensuring consistent, accessible, high-quality data for simulators and researchers.Create efficient storage and retrieval systems to enable large-scale historical backtesting and high-frequency research workflows.Develop user-friendly interfaces and APIs that facilitate easy variable discovery, metadata exploration, and data assembly into standardized stocks × values matrices for rapid hypothesis testing.Work collaboratively with quantitative researchers and simulation teams to grasp their workflows, ensuring the data platform meets analytical and performance needs in real-world scenarios.Establish best practices for data modeling, normalization, versioning, and quality control across various asset classes and data vendors.Collaborate with infrastructure and DevOps teams to enhance data pipelines, caching mechanisms, and distributed storage for improved scalability and reliability.Prototype and deploy internal data applications aimed at bolstering research productivity and data transparency.Guide and mentor data engineers to uphold robust, maintainable, and well-documented data systems.

Mirage builds AI-native video tools in Union Square, New York City. The team develops technology that uses natural language processing to simplify video production and editing. By modeling the creative decisions of professional editors, Mirage works to make video creation more efficient and accessible for a broader range of people. Role overview This early career software engineering position offers the chance to work on foundational challenges in generative media. Engineers at Mirage join an interdisciplinary group tackling technical and creative problems, many of which remain open in the field. Contributions in this role help shape the direction of creative expression and video technology at Mirage. Location requirement This position is based in person at Mirage’s headquarters in Union Square, NYC. Remote work is not available for this role. Application process All applications are reviewed with care. Please apply through the official job posting. Contacting Mirage employees directly will not affect the selection process. Learn more Our Product (Captions by Mirage) Our Research (Technical White Paper: Seeing Voices) Latest Updates (Follow Mirage on X / Twitter) Coverage in TechCrunch, Forbes AI 50, and Fast Company Investors Mirage is supported by Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, and other notable investors and entrepreneurs.

Trexquant is a premier systematic hedge fund that employs cutting-edge machine learning and quantitative strategies to maintain a market-neutral portfolio. With a global presence spanning the U.S., China, and India, our innovative team of researchers, technologists, and finance experts is dedicated to advancing the field of quantitative finance.We are on the lookout for a motivated and detail-oriented Business Development and Strategy Associate to enhance our growing statistical arbitrage hedge fund. In this role, you will collaborate closely with the Chief Strategy Officer to identify new business opportunities, implement initiatives for process and product improvements, and drive the firm's growth through data-centric decisions. The ideal candidate will demonstrate robust analytical and project management abilities, along with an entrepreneurial mindset to expand our market presence and reinforce our competitive advantage.

Join Our Team as an Early Career Developer Infrastructure EngineerAt Cockroach Labs, we empower innovation by providing cutting-edge solutions that help businesses scale their applications seamlessly. Our technology is designed to tackle the most challenging problems in modern software development.The RoleWe’re seeking an enthusiastic early-career software engineer to become a vital part of our Developer Infrastructure team. You'll engage in a variety of disciplines, including software engineering, CI/CD systems, cloud infrastructure, and information security. Your contributions will directly impact our engineering workflows and tools, enhancing productivity across the organization.As a member of a small, experienced team, you'll receive direct mentorship and guidance, allowing you to grow your skills in a supportive environment. Collaborating with diverse teams, you will help streamline workflows for our engineers in both database and cloud domains.

Role overview Trexquant is looking for a Linux Systems Engineer to support and enhance its on-premise infrastructure in New York. The position involves direct, hands-on work with bare-metal Linux servers. Daily tasks include provisioning new hardware, managing storage resources, and working to keep systems reliable and efficient in a production environment. What you will do Set up and maintain physical Linux servers Oversee storage systems and uphold data integrity Monitor system health and implement improvements to reliability in production environments Who thrives in this role Approaches system administration with care and discipline Feels comfortable in production-critical situations Brings a strong grasp of Linux internals, automation tools, and high-performance system setups Location This role is based in New York, New York, United States, with a focus on managing on-premise, physical infrastructure.

Join The New York Times as a Software Engineer in our Scoop Core team, where you will collaborate with talented developers to design and implement innovative solutions that enhance our digital platforms. You will play a critical role in shaping the future of journalism through technology, ensuring our content reaches millions of readers effectively and efficiently.

Join the City of New York as an Early Childhood Education Consultant, where you will play a vital role in shaping the future of early childhood education in our vibrant city. In this position, you will collaborate with various stakeholders to develop and implement innovative educational programs that ensure high-quality learning experiences for young children.

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.

About UsAt Maybern, we are revolutionizing the private fund management industry through innovative technology. Founded by leading engineering professionals with extensive expertise in fund management, we are committed to providing exceptional solutions for private fund CFOs.The private funds sector currently oversees $15 trillion in assets and is expanding at a remarkable 20% annually. As regulatory requirements tighten and investors demand greater transparency, the need for top-tier software has never been more critical. This is where Maybern steps in.We empower fund managers with intuitive and adaptable software, enabling them to concentrate on maximizing returns for their investors. Supported by prominent venture capital firms and a robust network of strategic investors, our team is dedicated to excellence.Located in New York City, Maybern fosters a vibrant in-office culture that encourages collaboration, and we are eager to welcome talented individuals to our growing team.

Join Trexquant as an AI Research Engineer, where you will be at the forefront of creating AI-powered systems that enhance alpha discovery for a forward-thinking quantitative hedge fund. In this pivotal role, you'll utilize state-of-the-art AI coding tools, such as Claude Code and other LLM-based agents, to develop automated research workflows that yield innovative data variables, predictive signals, and systematic trading strategies.Your work will bridge quantitative research, machine learning, and AI-enhanced development, resulting in scalable systems that significantly boost research efficiency and the quality of investment ideas.Key ResponsibilitiesDevelop AI-assisted research pipelines for data ingestion, feature engineering, alpha generation, and backtesting.Create autonomous workflows that explore datasets and propose potential signals.Quickly prototype and assess systematic strategies using comprehensive validation frameworks.Enhance research productivity by integrating AI coding agents into the quantitative workflow.Collaborate with researchers and Portfolio Managers (PMs) to transition validated alpha signals into production-ready applications.QualificationsProficiency in Python programming with experience in building research infrastructure.Strong foundation in statistics, machine learning, and backtesting methodologies.Practical experience utilizing AI coding tools (e.g., Claude Code, GPT-based agents) within a development workflow.Background in quantitative research, systematic trading, or alpha signal development is preferred.BenefitsCompetitive salary with performance-based bonuses.Friendly and collaborative work environment.Comprehensive PPO health, dental, and vision insurance fully covered for you and your dependents.Pre-tax commuter benefits.Weekly company meals.Applications are welcomed for both Stamford and New York City offices, with the NYC location set to open in October 2026.The base salary for this position ranges from $175,000 to $200,000, determined by the candidate’s educational background and experience. This role is classified as overtime-exempt.Trexquant is proud to be an Equal Opportunity Employer.

Role overview The Senior Software Engineer at the City of New York will work on software that helps city departments deliver better services. The focus is on building and refining technology that supports municipal operations, aiming to make them more efficient and responsive. What you will do Design and develop software to support and enhance services provided by the city Work closely with colleagues who are committed to improving public service Use technical skills to address challenges faced by city operations Location This position is located in New York, NY.

Join Us in Revolutionizing the MarketThe syndicated loan and CLO markets need a significant overhaul—current processes are cumbersome, outdated, and inefficient. At Octaura, we're leading the charge for change.We are reimagining the trading landscape, placing efficiency, transparency, and simplicity at the forefront of our operations. Our innovative platform integrates trading capabilities, data, and analytics, fundamentally transforming how markets operate and enhancing workflow efficiency like never before.Inclusive Culture at OctauraWe believe in empowering our team members to express their ideas and talents. Diversity is at the heart of our values, and we strive to build a team that reflects the world we live in. Our culture fosters collaboration, transparency, and innovation, all while ensuring a fun and engaging workplace.About the RoleAs we expand our technology team, we are on the lookout for Software Engineers eager to develop high-performance, next-generation technology that will redefine the loans industry. This role is perfect for those who want to drive innovation and thrive in a dynamic, collaborative environment, tackling complex challenges head-on.This is an exciting time to join Octaura as we experience rapid growth. We invite energetic, collaborative thinkers to become part of our journey! This position is based in our New York City office with a hybrid structure: 4 days in-office (Monday to Thursday) and 1 day remote (Friday).

Trexquant is a dynamic systematic hedge fund leveraging advanced statistical algorithms to trade equities, futures, and various global markets. Our approach begins with extensive datasets, from which we create comprehensive feature sets and employ diverse machine learning techniques to identify trading signals, culminating in the formulation of market-neutral portfolios. We are on the lookout for innovative data scientists, physicists, engineers, economists, and programmers eager to contribute to the development of cutting-edge machine learning strategies that predict the movements of liquid financial assets with precision.The role of a Quantitative Researcher at Trexquant offers opportunities across several specialized teams:Alpha Researcher:Join the Alpha Researcher team to design and implement market-neutral signals, analyze large datasets, and collaborate with the Data and Strategy Research teams to create a diverse array of predictive models.Data Scientist:As part of the Data Science team, you will work on data parsing and analysis, sourcing new datasets, and teaming up with the Alpha and Strategy teams to build predictive machine learning models.Strategy Researcher:In the Strategy team, you will engage in the development of systematic strategies utilizing various machine learning and statistical methodologies, training and validating data derived from actual market trading.Upon applying for the Quantitative Researcher position at Trexquant, you will first be evaluated on the fundamental skills necessary for the role. Our interview process is designed to help us understand your strengths better and match you with a research team that aligns with your skills and preferences.Your Responsibilities:Design and optimize machine learning models aimed at predicting liquid asset movements using extensive financial datasets and a rich library of trading signals.Analyze data sets for future alpha development.Explore and implement cutting-edge academic research in quantitative finance.Collaborate with skilled quantitative researchers to conduct experiments and validate hypotheses through simulations.Requirements:BS/MS/PhD in a STEM field.Enthusiasm for machine learning.Proficiency in programming languages such as Python.Exceptional problem-solving abilities.Ability to function effectively both independently and as part of a team.Knowledge of financial accounting is advantageous.A background in quantitative finance is beneficial but not a prerequisite.Benefits:Competitive salary plus bonuses based on individual and company performance.

At Trexquant, a cutting-edge systematic hedge fund, we leverage a multitude of statistical algorithms to navigate global equity, futures, and other markets. Our approach harnesses extensive datasets to create comprehensive feature sets, utilizing advanced machine learning techniques to unearth trading signals and integrate them into market-neutral portfolios. We are actively seeking talented individuals from diverse backgrounds, including data science, physics, engineering, economics, and programming, to pioneer the next wave of machine learning strategies that adeptly forecast the movements of liquid financial assets.As a Quantitative Researcher, you will engage in the development of market-neutral signals, meticulously parse and analyze large datasets, and collaborate with the Data and Strategy Research team to construct a variety of predictive models. While we welcome expertise across all asset classes, our immediate focus lies on equities, futures, commodities, and event-driven research.

Job Title:Software Engineer, GlamourAbout Bombas:Bombas is a premium basics brand centered on comfort, dedicated to making a difference. Founded in 2013, we learned that socks are the most requested clothing item in homeless shelters. To tackle this issue, we donate a pair of socks for every pair sold. Our commitment to comfort has led us to create the most comfortable socks ever, and we've expanded our product line to include underwear and t-shirts, meeting the demands of those in need. Our mission continues to evolve as we innovate and serve our community with impactful products.Discover what it's like to work inside the Bombas Hive by clicking here.The name Bombas comes from the Latin word for bumblebees, symbolizing teamwork and community. We are proud of our diverse and inclusive team, working together to create the best products while ensuring that every voice is valued and heard. We strive to foster an environment where everyone feels welcome, regardless of their background.This position will be based at our Bombas HQ in New York City, as per the specific job requirements.About the Job:We are seeking a talented Software Engineer to join our Engineering Team. In this role, you will be instrumental in enhancing the systems and digital experiences that promote our mission and products. Collaborating with various teams, you will create solutions that improve the speed, reliability, and enjoyment of our online customer experiences. The ideal candidate will possess over 2 years of software engineering experience and a passion for contributing to meaningful work that supports those in need of essential clothing items.