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Finance 🏢 Full Time ⭐️ Verified

Senior Equity Options Software Engineer

Quantum Financial Systems
Seattle
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Juli 2026
Deadline
18 Jul 2027

Job Description

Join our elite financial engineering team at Quantum Financial Systems, where we're revolutionizing equity derivatives technology. We're seeking a Senior Software Engineer to architect and implement next-generation trading platforms for institutional equity options markets. Collaborate with quant researchers and traders to build low-latency systems processing millions of daily transactions across global exchanges.

Our Seattle hub offers a hybrid work environment with state-of-the-art labs and competitive benefits including equity participation. This role combines deep financial domain expertise with cutting-edge software engineering in one of the world's most vibrant tech hubs.

Responsibilities

  • Design and implement high-performance options pricing engines using Monte Carlo and finite difference methods
  • Develop low-latency order execution systems with sub-microsecond market data processing
  • Create risk management frameworks for complex options portfolios using C++ and Python
  • Build real-time analytics dashboards for options volatility surfaces and Greeks visualization
  • Optimize trading algorithms for market impact minimization in illiquid options markets
  • Maintain compliance with SEC regulations and exchange rulebooks for derivatives trading
  • Mentor junior engineers on financial modeling best practices and code quality standards

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, or related field (MS/PhD preferred)
  • 5+ years experience in high-frequency trading systems or financial derivatives software
  • Expert proficiency in C++ with STL and Boost libraries for low-latency applications
  • Deep understanding of options pricing models (Black-Scholes, Binomial, Heston)
  • Experience with FIX protocol and exchange connectivity for derivatives markets
  • Strong background in multithreading, lock-free programming, and network optimization
  • Familiarity with cloud deployment on AWS/GCP for financial workloads
  • Portfolio demonstrating complex financial software projects or open-source contributions

Required Skills

C++ Python Monte Carlo Simulation Low-latency Systems Options Pricing FIX Protocol Financial Engineering Multithreading AWS Market Data

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