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Trading Systems Jobs (NOW HIRING)

Edgehog Trading

Quantitative Execution Trader

Chicago, IL · On-site

$128 - $173/hr

Our team spans trading, engineering, and business operations, working together to build and support the systems that power the firm. We emphasize data-driven decision making, rigorous problem solving ...

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Trading Systems information

What is the difference between Trading Systems vs Trading Analysts?

AspectTrading SystemsTrading Analysts
Required CredentialsKnowledge of trading platforms, programming skills, certifications in finance or ITFinance or economics degree, analytical skills, certifications like CFA
Work EnvironmentTechnology-focused, often in IT or trading technology teamsFinancial firms, trading floors, or investment banks
Employer & Industry UsageFinancial institutions, hedge funds, trading firmsInvestment banks, asset management firms, trading desks

Trading Systems professionals focus on developing, maintaining, and optimizing trading platforms and algorithms, often with technical expertise. Trading Analysts analyze market data, develop trading strategies, and support trading operations. While both roles are integral to trading activities, Trading Systems roles are more technical and IT-oriented, whereas Trading Analysts are more focused on market analysis and strategy development.

What does a trading systems engineer do?

A trading systems engineer designs, develops, and maintains the technology infrastructure used for electronic trading. They work with programming languages, trading platforms, and data analysis tools to ensure systems operate efficiently and securely in fast-paced financial environments.

How does a professional in trading systems typically collaborate with traders and software developers?

Professionals working in Trading Systems often act as a bridge between traders and software developers. They gather requirements from traders, translate them into technical specifications, and work closely with developers to implement or optimize trading platforms. Regular communication and feedback loops are essential to ensure system performance, reliability, and compliance with trading strategies. This collaborative environment fosters innovation while allowing Trading Systems professionals to gain exposure to both the technical and business sides of trading.

What are trading systems?

Trading systems are sets of rules or algorithms designed to automate or guide the process of buying and selling financial instruments such as stocks, bonds, or derivatives. These systems can be manual or fully automated, and they typically use technical indicators, quantitative models, or predefined strategies to make trading decisions. Trading systems aim to remove emotional bias, improve consistency, and increase efficiency in the financial markets. They are widely used by professional traders, hedge funds, and financial institutions to manage risk and capitalize on market opportunities.

What are the key skills and qualifications needed to thrive in trading systems?

To excel in Trading Systems, you need a strong background in computer science, finance, and quantitative analysis, often supported by a relevant degree. Familiarity with programming languages like Python, C++, and SQL, as well as experience with electronic trading platforms and financial data feeds, is essential. Exceptional problem-solving, attention to detail, and effective communication are valuable soft skills in this field. These skills are crucial for developing robust, efficient trading solutions and ensuring reliability and accuracy in fast-paced financial markets.
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Infographic showing various Trading Systems job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Lead Trading Systems Engineer (USA)

Trexquant Investment

New York, NY • On-site

$175K - $200K/yr

Full-time

Medical, Dental, Vision

Re-posted 5 days ago

Job description

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