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# Senior Quantitative Developer

- **Company:** MILLENNIUM
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $175,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Algorithmic Trading, Automation of Tests, C++ (Programming Language), Software Quality, Data Structures, Python (Programming Language), Enterprise Messaging Systems, Object-Oriented Software Development, DataOps, Software Engineering, System Programming, Multithreading, Real Time Systems, Large Language Models, Information Technology, Low Latency, Build Tools, Asynchronous Programming
- **Published:** July 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8979a3b6dceae4b4

## About the Role

* Bachelor's degree in Computer Science or a related field.
 * 10+ years of professional software development experience, including at least 5 years in a front-office financial services environment.
 * Strong expertise in data structures, algorithms, and object-oriented programming in C++.
 * Proficiency with C++17 and C++20, multithreading, and asynchronous programming environments.
 * Strong understanding of low-latency and real-time system design and implementation.
 * Deep knowledge of Linux system internals and networking.
 * Strong financial markets experience across multiple asset classes, with a focus on real-time, low-latency trading systems for equities and futures.
 * Proficiency using LLM-based tools to accelerate development, improve code quality, and enhance productivity; working familiarity with Python for quantitative research, data-oriented processing, and execution algorithm performance analysis.

## Description

* Design, develop, and maintain low-latency C++ execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.
 * Partner directly with central trading teams to optimize execution performance across businesses and regions.
 * Reduce system latency using advanced network and systems programming techniques and other performance-focused methodologies.
 * Build systems, interfaces, and tools for historical market data analysis and trading simulations to improve research productivity and system testability.
 * Develop and maintain automated tests, performance benchmarking frameworks, and internal engineering tools.
 * Collaborate with trading teams in a fast-paced environment to gather requirements and deliver effective, timely solutions.


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