Remote Quantitative Developer - Algorithmic Trading

Placements24; United States; Remote; USD 180,000 - 280,000; Full time

Benefits offered by this job

Competitive salary

Performance bonuses

Profit-sharing opportunities

Remote work flexibility

Comprehensive health coverage

Generous time off

Job summary

Placements24 is seeking a Quantitative Developer to join a globally distributed, fully remote team focused on high-frequency trading systems and algorithms.

You will design, implement, and optimize low-latency execution systems, backtesting frameworks, and data analysis tools, collaborating with researchers and portfolio managers to productionize ideas.

Qualifications

• Master's or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or related quantitative field.
• 3–5 years of professional experience in quantitative development, algorithmic trading, or low-latency systems development.
• Expertise in C++ is mandatory, with strong understanding of high-performance computing principles.
• Proficiency in Python for scripting, data analysis, and strategy development is highly desirable.
• Experience with real-time data processing, socket programming, and multithreading.
• Strong understanding of financial markets, trading strategies, and order execution mechanisms.
• Familiarity with Linux/Unix environments and shell scripting.
• Excellent problem-solving and analytical skills.

Responsibilities

• Develop, test, and deploy high-performance, low-latency trading algorithms and systems.
• Design efficient data structures for real-time market data processing and trade execution.
• Build and maintain backtesting engines to evaluate strategies.
• Collaborate with researchers and PMs to translate ideas into production-ready code.
• Optimize trading systems for speed, reliability, and resource efficiency.
• Contribute to architecture and design of trading platforms and infrastructure.
• Analyze trading performance and identify improvement areas.
• Ensure code quality, testing, and documentation.

Skills

Problem solving

Analytical thinking

Independent work

Communication skills

Distributed team collaboration

Education

Master's or Ph.D. in CS/EE/Math/Physics

Tools

C++

Python

Linux/Unix

Job description

About the Role

Our client, a prominent quantitative trading firm, is seeking a highly skilled Quantitative Developer to join their globally distributed, fully remote team. This role is focused on designing, implementing, and optimizing high-frequency trading systems and algorithms. You will work at the forefront of financial technology, developing sophisticated low-latency execution systems, backtesting frameworks, and data analysis tools. This is a unique opportunity to contribute to cutting-edge quantitative strategies within the fast-paced world of financial trading, with the complete flexibility of remote work.

Key Responsibilities

• Develop, test, and deploy robust, high-performance, low-latency trading algorithms and systems.
• Design and implement efficient data structures and algorithms for real-time market data processing and trade execution.
• Build and maintain sophisticated backtesting engines to evaluate trading strategies.
• Collaborate with quantitative researchers and portfolio managers to translate trading ideas into production-ready code.
• Optimize existing trading systems for speed, reliability, and resource efficiency.
• Contribute to the architecture and design of new trading platforms and infrastructure.
• Perform in-depth analysis of trading performance, identifying areas for improvement.
• Ensure the highest standards of code quality, testing, and documentation.
• Stay current with technological advancements in high-frequency trading and quantitative finance.

Requirements

• Master's or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related quantitative discipline.
• 3-5 years of professional experience in quantitative development, algorithmic trading, or low-latency systems development.
• Expertise in C++ is mandatory, with a strong understanding of high-performance computing principles.
• Proficiency in Python for scripting, data analysis, and strategy development is highly desirable.
• Experience with real-time data processing, socket programming, and multithreading.
• Strong understanding of financial markets, trading strategies, and order execution mechanisms.
• Familiarity with Linux/Unix environments and shell scripting.
• Excellent problem-solving and analytical skills, with meticulous attention to detail.
• Ability to work independently and effectively in a distributed, remote team environment.
• Strong communication skills for effective collaboration.

Benefits

This role offers an extremely competitive salary, substantial performance bonuses, and potential profit-sharing opportunities. As a fully remote position, it provides unparalleled flexibility.

Additional benefits include comprehensive health coverage, generous time off, and a generous budget for professional development, conferences, and home office equipment. Our client is committed to fostering innovation and providing challenging, rewarding work in the Banking & Finance sector, enabling significant career growth for its team members.