Algorithmic Trading Developer

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design and develop high-performance trading, pricing, and risk management systems for financial technology applications. Build scalable, low-latency solutions and optimize application performance for mission-critical financial platforms. Requires 6+ years of software engineering experience in fintech or quantitative environments.

Key Highlights

Design and develop high-performance trading systems

Optimize latency, scalability, and throughput

Collaborate with quantitative researchers and traders

Experience with C++, Java, or Python required

Key Responsibilities

Design, develop, and maintain high-performance trading, pricing, and risk management systems

Build and enhance market data pipelines, backtesting frameworks, and trading tools

Optimize application performance, latency, scalability, and throughput

Develop risk management, profit and loss (P&L), analytics, and reporting solutions

Troubleshoot production issues and improve system reliability

Develop scalable and maintainable software solutions using modern engineering practices

Contribute to architecture decisions and continuous improvements

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Technical Skills Required

C++ Java Python

Benefits & Perks

Competitive annual salary range of $100,000-$150,000

Fully remote work opportunity across the United States

Full-time employment with long-term career growth

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Nice to Have

QuantLib

kdb+/q

GPU-accelerated computing

Cloud-native fintech platforms

Advanced quantitative methods

Job Description

This role offers the opportunity to design and develop advanced trading technologies that support high-performance financial systems.The position focuses on building scalable, low-latency solutions for trading, pricing, risk management, and market analytics.You will work at the intersection of software engineering, quantitative finance, and financial markets to create reliable production-grade platforms.The role combines technical expertise, performance optimization, problem-solving, and collaboration with specialized teams.You will contribute to the development of systems where speed, accuracy, and scalability are critical to business success.

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