Scientific Data Architect - New York

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.

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 a systematic fund focused on quantitative finance, with a team of researchers and engineers dedicated to advancing trading operations. The company is investing in its quantitative research and trading platform, aiming to shape the future of systematic trading. This early career Software Engineer role is based in New York and offers the chance to work alongside experienced engineers and quantitative researchers. The position centers on building and improving the infrastructure that supports systematic trading, including data pipelines, backtesting tools, and execution systems. Many projects involve greenfield development, offering opportunities to help design and implement new systems from the ground up. What you will do Develop low-latency, high-throughput research and trading systems using languages such as C++, C, Java, or Rust. Design and optimize data processing pipelines to ensure reliable access to large, high-quality datasets. Help create tools for backtesting, model training, and strategy evaluation. Work with researchers and traders to deliver technical solutions that support research and trading performance. Participate in code reviews, testing, and documentation to maintain high standards. Stay current with new technologies and best practices, contributing ideas to improve systems. Requirements Bachelor's or Master's degree in Computer Science or a related STEM field. Strong grasp of data structures, algorithms, and object-oriented programming. Proficiency in at least one programming language: C++, C, Python, Java, or Rust. Familiarity with Linux environments. Strong problem-solving skills and the ability to learn quickly in a team setting. Benefits Competitive salary with performance-based bonuses. Supportive and friendly workplace culture. Full coverage of PPO health, dental, and vision insurance premiums for employees and dependents. Pre-tax commuter benefits. Weekly company meals. Compensation The base salary range for this role is $130,000 to $175,000, depending on educational and professional background. Compensation may also include a discretionary, performance-based bonus. This position is overtime-exempt. Applications are open for both Stamford and New York City offices. The New York office is expected to open in October 2026. Trexquant is 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.

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.

ABOUT THE ROLEJoin our dynamic team as a Staff Data Architect and shape the future of data architecture! In this pivotal role, you will be responsible for the architecture of domain-scale data systems. You will define the target architecture for your domain, set enforceable standards and data contracts, and empower various teams to create governed, reliable, and reusable data products. You’ll ensure high-quality architecture decisions, semantic consistency, and the adoption of shared patterns across your domain, influencing how data is designed and governed. Your focus will be on creating a scalable and consistent architecture that enhances data delivery. YOUR GAME PLANEvery team member plays a crucial role! Define and maintain a North Star architecture and multi-quarter roadmap in line with business priorities. Establish and enforce data modeling standards, canonical definitions, and schema evolution practices. Define and operationalize data product contracts, including ownership, quality expectations, and versioning discipline. Lead architecture governance and design reviews at the domain level, ensuring all decisions are documented and stakeholder concerns addressed. Engage in hands-on prototyping and framework building to drive MVP execution. Define scalable Lakehouse and platform patterns using Databricks, aligned with performance, cost, reliability, and security requirements. Embed data quality, metadata, lineage, and compliance into architectural standards from the outset. Lead strategies for domain migration and deprecation to reduce technical debt and long-term risk. Collaborate across Data Engineering, Product Engineering, Product, Security, Governance, Analytics, and other stakeholders to translate business intent into actionable architectural direction. Influence the adoption of architectural standards across multiple teams without direct authority.

Join Sonsoft Inc. as a Big Data Architect and play a pivotal role in shaping our data architecture strategy. As a vital member of our team, you will design and implement robust data solutions that enhance our analytics capabilities. Collaborate with cross-functional teams to identify data requirements and build scalable data infrastructure.

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.

Join our dynamic team as a Senior Solutions Architect, where you will leverage your CCIE certification to deliver advanced network architecture and engineering solutions. This pivotal role involves strategic design and architecture while addressing critical operational needs.Support daily network operations to ensure uptime, performance, and continuity.Conduct L2/L3 troubleshooting across routing, switching, and production Cisco environments (IOS, IOS-XE, IOS-XR).Facilitate protocol redistribution, configuration updates, and change management activities.Assist in patching, upgrades, migrations, and lifecycle operations.Perform root cause analysis (RCA) and offer optimization recommendations.Contribute to security hardening and assist during incident response efforts.Maintain comprehensive network documentation, including diagrams, SAN mappings, and configuration records.Provide ongoing knowledge transfer to enhance internal operational capabilities.

About the Role The City of New York is hiring a Senior Data Architect based in New York. This position plays a central part in shaping and maintaining the data systems that support essential city programs. The Senior Data Architect will design and manage data architectures, focusing on reliability and scalability. What You Will Do Design data architectures to meet the needs of city initiatives. Manage and optimize data flow across multiple platforms. Guide the integration of data systems to ensure consistency and efficiency. Location This role is based in New York.

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.

We are seeking an experienced ETL Architect to join our dynamic team at Integrated Resources Inc. in New York. The ideal candidate will be responsible for designing and implementing robust ETL processes to facilitate the seamless transfer of data across various systems. This role requires a deep understanding of data integration, transformation, and loading methodologies as well as a strong proficiency in ETL tools.

Join Datadog’s Implementation Services team, where we empower customers to swiftly implement and deploy the Datadog platform. As a key architect, you will spearhead the discovery, design, build, and launch processes, ensuring our clients achieve maximum value from their investment. Your role will include crafting a detailed technical roadmap for each implementation, guiding customers through every phase of their journey.At Datadog, we cherish our office culture, which fosters collaboration, creativity, and strong relationships. Our hybrid workplace model promotes work-life harmony, allowing our Datadogs to thrive both personally and professionally.

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 StubHub, a leader in redefining the live event experience on a global level. From first-time attendees to seasoned concertgoers, we strive to enhance every ticketing journey, ensuring our platform is the safest and most convenient for fans and sellers alike, whether they are individuals selling a single ticket or promoters orchestrating a global stadium tour.We are on the lookout for a skilled Senior Data Engineer to become an integral part of our Data team. In this capacity, you will design and implement the foundational systems and pipelines necessary for centralizing both StubHub’s internal data and third-party data sources. Our mission is to empower company-wide organizations to leverage data for analysis, reporting, new product innovation, experimentation, and machine learning. Your responsibilities will include developing the core infrastructure for our data lake and data warehouse, creating essential data models and pipelines, and crafting shared tools to facilitate the generation of high-quality, trustworthy data assets.As a Senior Data Engineer within the Data Platform team, your contributions will be pivotal in shaping core infrastructure, frameworks, and analytical data layers. You will also help define a culture of excellence in data engineering and mentor team members to achieve these standards. We seek a candidate who is not only passionate about the synergy between data and software development fundamentals but also capable of employing these principles to build a data ecosystem that is principled, maintainable, and scalable in alignment with StubHub's rapid growth. You will develop expertise in specific business domains, proactively anticipating the needs of those verticals.Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA

About the RoleWe are looking for a talented Senior Data Architect / Application Engineer to become a pivotal part of our dynamic team. In this role, you will design, develop, and maintain robust data platforms and application infrastructure. Your expertise will drive innovative data solutions while ensuring the reliability, security, and performance of our platforms.Location: New York City, NY (Hybrid – 3 days onsite)Interview Process: In-person interview required in NYC.Work Authorization: Only W2 candidates will be considered. C2C is allowed only if the candidate is a US Citizen or Green Card holder with their own corporation.Key ResponsibilitiesLead architecture and technical design discussions leveraging industry best practices and cutting-edge technologies.Support production operations and troubleshoot complex issues within the Credit Risk application platform.Design and implement batch and ad-hoc data pipelines utilizing Medallion Lakehouse architecture on modern cloud platforms, primarily Databricks.Build and maintain data ingestion pipelines from upstream systems into object storage (e.g., S3, ADLS) using formats like Parquet, including partitioning, z-ordering, and schema evolution.Integrate with external XVA / risk engines to expand analytical capabilities.

Role overview NBCUniversal Media, LLC is seeking a Senior Data Engineer in New York. This role focuses on building and maintaining data solutions that support analytics and business intelligence across the company. The Senior Data Engineer works closely with teams from different departments to make sure data is accurate, accessible, and ready for analysis. What you will do Design and implement data pipelines and systems to support analytics needs Work with cross-functional teams to maintain high standards for data quality and availability Use modern technologies to improve and automate data processing workflows