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Finance 🏢 Full Time ⭐️ Verified

Equity Options Software Engineer - Night Shift

FinTech Innovations Inc.
Colorado Springs
Estimated Salary
USD 130.000 – USD 175.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Join our elite team as a Night Shift Equity Options Software Engineer and revolutionize financial technology. We're seeking a visionary developer to build cutting-edge trading platforms that power global equity options markets. This high-impact role demands technical excellence and market expertise in a dynamic 24/7 environment.

Work alongside quantitative analysts and traders to architect low-latency systems handling millions of transactions daily. You'll solve complex financial engineering challenges while maintaining strict regulatory compliance. Enjoy premium compensation, flexible scheduling, and opportunities to shape the future of algorithmic trading.

Responsibilities

  • Design and develop high-performance software for equity options pricing and execution systems
  • Implement real-time risk management algorithms for multi-asset portfolios
  • Collaborate with traders to translate market requirements into technical specifications
  • Optimize trading strategies using machine learning and statistical modeling
  • Ensure system scalability and reliability during peak market volatility
  • Conduct rigorous testing and debugging of trading infrastructure
  • Document technical specifications and compliance protocols

Qualifications

  • Bachelor's degree in Computer Science, Finance, or related field (Master's preferred)
  • 3+ years experience in C++/Java/Python for financial systems
  • Deep understanding of equity options pricing models (Black-Scholes, Monte Carlo)
  • Expertise in low-latency networking and Linux kernel optimization
  • Familiarity with FIX protocol and market data feeds
  • Proven track record in high-frequency trading environments
  • Strong analytical skills for complex financial problem-solving

Required Skills

C++ Java Python Linux Equity Options FIX Protocol Low-Latency Systems Machine Learning Risk Management

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