Trexquant is a growing systematic fund at the forefront of quantitative finance

Trexquant Investment, a growing systematic fund at the forefront of quantitative finance, is seeking a C++ Market Data Engineer to join their team. This role focuses on designing and building ultra-low-latency feed handlers for premier vendor feeds and major exchange multicast feeds. As a critical position within Trexquant's trading platform, the engineer will work with cutting-edge technology to optimize performance at the microsecond level.

The role requires expertise in modern C++ development, with a focus on high-performance computing and low-latency systems. You'll be responsible for implementing feed handlers for various financial markets, optimizing system performance, and ensuring robust data delivery. The position offers opportunities to work with advanced technologies including lock-free algorithms, kernel-bypass networking, and sophisticated market data systems.

The ideal candidate will have at least 3 years of professional experience in C++ development, strong knowledge of financial market data feeds, and expertise in performance optimization. This role combines technical challenges with real-world impact, as your code will directly influence trading strategies across global markets.

Working in a hybrid environment in Stamford, CT, you'll join a collaborative team of accomplished researchers and engineers. The company offers comprehensive benefits including fully covered health insurance for employees and dependents, competitive compensation with performance-based bonuses, and a casual yet dynamic work environment. This is an excellent opportunity for a skilled engineer looking to make a significant impact in quantitative finance while working with cutting-edge technology.

Senior C++ Market Data Engineer position at Trexquant Investment, focusing on ultra-low-latency feed handlers and high-performance computing in quantitative finance.

C++ Market Data Engineer

Trexquant Investment is a quantitative investment firm

Trexquant Investment is seeking a Data Engineer to join their technology team in a hybrid work arrangement based in Stamford, Connecticut. As a Data Engineer, you will be responsible for building and maintaining data pipelines, ensuring data quality, and supporting the firm's quantitative investment strategies. This role combines software engineering expertise with data management skills in a fast-paced financial environment.

The position offers an opportunity to work with cutting-edge technology and big data systems while contributing to the firm's investment process. You'll be part of a dynamic team that values innovation and technical excellence. The hybrid work model provides flexibility while maintaining collaborative opportunities with the team.

This role is ideal for someone who has strong programming skills, experience with data pipeline development, and an interest in financial markets. You'll have the chance to work with large-scale data systems and contribute to the firm's technological infrastructure.

The position requires a combination of technical expertise in data engineering and an understanding of financial data. You'll be working in a collaborative environment where you can grow your skills while making meaningful contributions to the firm's success.

Join Trexquant Investment to be part of a team that's pushing the boundaries of quantitative investment through technological innovation. This role offers professional growth opportunities in both technical and financial domains, making it an excellent choice for engineers interested in the intersection of technology and finance.

Data Engineer position at Trexquant Investment - Hybrid role based in Stamford, CT

Data Engineer (USA)

Trexquant is a systematic fund focused on quantitative finance, specializing in algorithmic trading and quantitative research.

Trexquant Investment, a growing systematic fund specializing in quantitative finance, is seeking a C++ Software Engineer to join their technology team. The role focuses on building next-generation trading systems and analytics platforms, working at the intersection of high-performance computing and financial markets.

The position offers an opportunity to work with accomplished researchers and engineers, designing and optimizing high-performance systems for algorithmic trading. The engineer will be responsible for developing core infrastructure for trading simulations, data pipelines, and low-latency execution platforms. This role is perfect for someone who combines strong C++ development skills with an interest in financial markets and systematic trading.

The company provides a collaborative and casual work environment, along with comprehensive benefits including fully covered health insurance for employees and dependents, commuter benefits, and weekly company meals. The hybrid work arrangement in Stamford, Connecticut, offers flexibility while maintaining team collaboration.

Key responsibilities include building and maintaining quantitative research infrastructure, optimizing data processing systems, and creating tools for research workflows. The ideal candidate should have at least one year of C++ experience, strong understanding of data structures and algorithms, and preferably some exposure to Python and financial applications.

This role presents an excellent opportunity for a software engineer interested in applying their skills to quantitative finance, working with cutting-edge technology, and contributing to the evolution of systematic trading platforms.

C++ Software Engineer position at Trexquant Investment, focusing on building high-performance trading systems and analytics platforms with opportunities in quantitative finance.

C++ Software Engineer (USA)

A systematic fund manager applying statistical and machine learning techniques to build investment portfolios and trade client assets in global equity and futures markets.

Trexquant Investment, a growing systematic fund manager, is seeking a Data Engineer to join their team in Gurugram, India. The company, with a global presence across the US, China, and India, specializes in applying statistical and machine learning techniques to build investment portfolios and trade client assets in global equity and futures markets.

The role focuses on supporting researchers by developing and maintaining data processing scripts, ensuring data quality, and optimizing data retrieval processes. The ideal candidate will work at the intersection of technology and finance, requiring both technical expertise in Python and an understanding of financial markets.

This position offers an excellent opportunity for a data professional with at least one year of Python experience to join a team of over 50 employees, primarily composed of research professionals with advanced degrees. The collaborative environment encourages participation in decision-making processes and provides opportunities to lead new initiatives.

The role combines technical challenges with financial domain knowledge, making it ideal for someone interested in quantitative finance and data engineering. Benefits include competitive compensation with performance-based bonuses, a collaborative work environment, and regular team meals. The position requires strong attention to detail, independent working capabilities, and the ability to translate research requirements into practical data solutions.

Working at Trexquant means being part of a dynamic team that's at the forefront of quantitative trading, offering exposure to cutting-edge technology and financial markets. The company's global presence and focus on innovation provide excellent opportunities for professional growth and learning.

Data Engineer position at Trexquant Investment in Gurugram, focusing on developing and maintaining data processing scripts for quantitative trading strategies.

Data Engineer (INDIA)

Trexquant is a systematic fund manager applying statistical and machine learning techniques to build investment portfolios and trade client assets in global equity and futures markets.

Trexquant Investment, a growing systematic fund manager, is seeking a Data Engineer to join their team in Beijing, China. The company, with a global presence in the US, China, and India, specializes in applying statistical and machine learning techniques to build investment portfolios and trade client assets in global equity and futures markets.

The role focuses on supporting researchers by developing and maintaining data pipelines, ensuring data quality, and optimizing data retrieval processes. The ideal candidate will work with a team of over 50 professionals, primarily comprising research experts with advanced degrees in science, math, and technology.

This position offers an excellent opportunity for a data engineering professional to work in the exciting field of quantitative finance. The role combines technical expertise in Python with financial data processing, requiring both independent work capability and collaborative skills. The company provides a supportive environment with competitive compensation, including performance-based bonuses, and comprehensive benefits.

Key responsibilities include developing scripts for data processing, ensuring data accuracy, optimizing retrieval processes, and providing technical support. The position requires a technical degree and at least one year of Python experience in a data capacity. Experience in financial services is advantageous but not mandatory.

The role offers professional growth in a dynamic environment where you'll work with cutting-edge technology and sophisticated trading strategies. You'll be part of a global team that values innovation, attention to detail, and continuous learning. The company provides a collaborative, casual work environment, high-end medical insurance, and flexible hybrid working arrangements.

Data Engineer position at Trexquant Investment in Beijing, focusing on financial data processing and analysis using Python, with 1+ years experience required.

Trexquant Investment Engineering Jobs

Trexquant is a growing systematic fund at the forefront of quantitative finance