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Lead Trading Systems Engineer (USA)

Trexquant Investment

Stamford, Connecticut • Today

Full-time

USD 175,000.00 - 200,000.00 per year

Job Details

Skills

Order Management
Equities
Fixed Income
Derivatives
Scalability
Dynamics
Roadmaps
Market Analysis
Caching
Time Series
Management
Mentorship
Emerging Technologies
Computer Science
Mathematics
Programming Languages
Java
Python
Algorithms
Concurrent Computing
Data Structure
Systems Architecture
C++
Linux
Oracle Management Server
Trading
Communication
Collaboration
Research
Finance
PPO
Insurance
Taxes

Summary

Trexquant is looking for a senior technologist to lead the design and evolution of our core trading, research, and simulation infrastructure. This role involves architecting and building scalable, low-latency systems in Linux environments, collaborating closely with quantitative researchers & engineers, and driving next-generation simulation and execution platforms.

Responsibilities

Design, build, and enhance core infrastructure systems that support trading, research, and operations, including integration with the firm's Order Management System (OMS).
Architect and develop a high-performance multi-asset simulation and backtesting platform capable of supporting strategy research, backtesting, and deployment across equities, futures, fixed income, and derivatives.
Evaluate existing systems to identify bottlenecks and implement improvements that enhance scalability, performance, and security.
Collaborate with quantitative researchers and cross-functional teams to ensure the platform accurately models market dynamics, transaction costs, and execution behavior while aligning technical initiatives with a long-term infrastructure roadmap.
Design and optimize scalable data and compute infrastructure for low-latency, high-throughput processing of large-scale market data across simulation and production trading.
Improve caching, time-series management, and distributed computation while keeping the simulation & backtesting framework modular and scalable.
Oversee the development, integration, and deployment of systems and tools in C++, Python, and Linux environments.
Provide mentorship and technical guidance to engineers and researchers while staying current with emerging technologies and industry best practices.

Requirements

Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related STEM field.
6+ years of experience building high-performance trading, simulation, or research infrastructure within Linux environments.
Expert-level proficiency in one of these programming languages: C++ (C++17/20), Java, or Python, with strong knowledge of algorithms, concurrency, data structures, and systems architecture. Preference for C++.
Experience architecting scalable, low-latency, high-throughput systems in Linux-based production environments.
Knowledge of market microstructure, execution systems, and simulation or backtesting methodologies.
Experience designing or supporting OMS, execution, or comparable trading infrastructure.
Excellent communication skills and ability to collaborate effectively across engineering and research teams.
Financial industry experience is a plus, but not required.

Benefits

Competitive salary plus bonus based on individual and company performance.
Collaborative, casual, and friendly work environment.
PPO Health, dental and vision insurance premiums fully covered for you and your. dependents.
Pre-tax commuter benefits.
Weekly company meals

Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026.

The base salary range is $175,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.

Trexquant is an Equal Opportunity Employer

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10507220
Position Id: 75087ab67a0cc724d0f5a023876aa50f
Posted 30+ days ago

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Job Details

Skills

Order Management
Equities
Fixed Income
Derivatives
Scalability
Dynamics
Roadmaps
Market Analysis
Caching
Time Series
Management
Mentorship
Emerging Technologies
Computer Science
Mathematics
Programming Languages
Java
Python
Algorithms
Concurrent Computing
Data Structure
Systems Architecture
C++
Linux
Oracle Management Server
Trading
Communication
Collaboration
Research
Finance
PPO
Insurance
Taxes

Summary

Design, build, and enhance core infrastructure systems that support trading, research, and operations, including integration with the firm's Order Management System (OMS).
Architect and develop a high-performance multi-asset simulation and backtesting platform capable of supporting strategy research, backtesting, and deployment across equities, futures, fixed income, and derivatives.
Evaluate existing systems to identify bottlenecks and implement improvements that enhance scalability, performance, and security.
Collaborate with quantitative researchers and cross-functional teams to ensure the platform accurately models market dynamics, transaction costs, and execution behavior while aligning technical initiatives with a long-term infrastructure roadmap.
Design and optimize scalable data and compute infrastructure for low-latency, high-throughput processing of large-scale market data across simulation and production trading.
Improve caching, time-series management, and distributed computation while keeping the simulation & backtesting framework modular and scalable.
Oversee the development, integration, and deployment of systems and tools in C++, Python, and Linux environments.
Provide mentorship and technical guidance to engineers and researchers while staying current with emerging technologies and industry best practices.

Requirements

Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related STEM field.
6+ years of experience building high-performance trading, simulation, or research infrastructure within Linux environments.
Expert-level proficiency in one of these programming languages: C++ (C++17/20), Java, or Python, with strong knowledge of algorithms, concurrency, data structures, and systems architecture. Preference for C++.
Experience architecting scalable, low-latency, high-throughput systems in Linux-based production environments.
Knowledge of market microstructure, execution systems, and simulation or backtesting methodologies.
Experience designing or supporting OMS, execution, or comparable trading infrastructure.
Excellent communication skills and ability to collaborate effectively across engineering and research teams.
Financial industry experience is a plus, but not required.

Benefits

Competitive salary plus bonus based on individual and company performance.
Collaborative, casual, and friendly work environment.
PPO Health, dental and vision insurance premiums fully covered for you and your. dependents.
Pre-tax commuter benefits.
Weekly company meals

Dice Id: 10507220
Position Id: 75087ab67a0cc724d0f5a023876aa50f
Posted 30+ days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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