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Finance & Technology 🏢 Full Time ⭐️ Verified

Senior Equity Options Software Engineer

Quantum Financial Solutions
Indianapolis
Estimated Salary
USD 140.000 – USD 180.000
Live Update
28 Juli 2026
Deadline
28 Jul 2027

Job Description

Join Quantum Financial Solutions, a pioneer in fintech innovation, as we revolutionize equity options trading platforms. We're seeking a brilliant Senior Software Engineer to architect and develop high-performance systems that power global financial markets. In this role, you'll collaborate with quantitative analysts and traders to build cutting-edge solutions handling billions in daily transactions. Our Indianapolis hub offers a dynamic environment where your expertise will directly impact the future of financial technology.

Why Indianapolis? Enjoy a thriving tech scene with 25% lower cost of living than coastal cities, while working for a company with global reach. We offer competitive compensation, flexible work arrangements, and continuous learning opportunities.

Responsibilities

  • Design and implement low-latency trading systems for equity options pricing and risk analysis
  • Develop microservices architecture using Java and C++ for real-time market data processing
  • Collaborate with quants to translate complex financial models into production-ready code
  • Optimize algorithms for high-frequency trading environments handling 10M+ daily transactions
  • Implement robust testing frameworks ensuring 99.99% system uptime in critical trading operations
  • Mentor junior engineers and drive technical excellence through code reviews and architecture decisions

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field (MS preferred)
  • 5+ years experience in financial software development, specifically equity derivatives
  • Expert proficiency in Java, C++, and Python with strong multithreading knowledge
  • Deep understanding of options pricing models (Black-Scholes, Binomial Trees, Monte Carlo)
  • Experience with high-frequency trading systems and low-latency network protocols
  • Proficiency with Linux, Kubernetes, and cloud deployment (AWS/GCP)
  • Strong problem-solving skills with ability to optimize for performance and scalability

Required Skills

Java C++ Python Options Pricing Financial Derivatives High-Frequency Trading Microservices Kubernetes AWS Linux Multithreading Algorithmic Trading

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