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Financial Technology 🏢 Full Time ⭐️ Verified

Senior Software Engineer - Equity Options Trading | Weekly Pay | New York, NY

Apex Derivatives Solutions
New York
Estimated Salary
USD 140.000 – USD 210.000
Live Update
16 Agustus 2026
Deadline
16 Agu 2027

Job Description

Are you a high-performance engineer ready to build the future of financial markets?

Apex Derivatives Solutions is seeking a visionary Senior Software Engineer to join our proprietary trading division. We specialize in algorithmic execution for equity options, and we need a technical expert to optimize our latency-sensitive infrastructure. If you thrive in a fast-paced environment and want to earn a competitive weekly pay structure while working from the heart of New York's financial district, this is your opportunity.

In this role, you will architect systems that process millions of market data points per second, ensuring our traders have a competitive edge in the complex options market.

Responsibilities

  • Design & Build: Architect and implement ultra-low latency trading systems and order management systems (OMS) specifically tailored for equity options derivatives.
  • Optimization: Profile, analyze, and optimize core trading engines to minimize latency and maximize throughput.
  • Integration: Integrate seamlessly with external market data providers and exchanges via FIX and proprietary protocols.
  • Development: Develop robust pricing models and risk management tools using Python and C++.
  • Maintenance: Ensure 99.999% system availability and monitor real-time health metrics of the trading floor.
  • Collaboration: Work closely with quantitative analysts and traders to translate business requirements into technical solutions.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (Master’s preferred).
  • Experience: Minimum 5+ years of experience in software development, specifically in low-latency or high-frequency trading environments.
  • Skills: Expert proficiency in C++ and Python; strong knowledge of multithreading and asynchronous programming.
  • Finance: Deep understanding of equity options pricing, Black-Scholes models, and market microstructure.
  • Infrastructure: Experience with distributed systems, message queues (Kafka/RabbitMQ), and containerization (Docker/Kubernetes).
  • Tools: Proficient with Linux environments, shell scripting, and version control (Git).

Required Skills

C++ Python Low Latency HFT Equity Options Options Trading Market Data FIX Protocol Kafka Docker AWS Quantitative Finance Algorithmic Trading

Ready to Take This Challenge?

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