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Information Technology 🏢 Part Time ⭐️ Verified

Equity Options Software Engineer (Part-Time)

Quantum Financial Technologies
Seattle
Estimated Salary
USD 90.000 – USD 120.000
New
Live Update
4 September 2026
Deadline
4 Sep 2027

Job Description

Join Quantum Financial Technologies as a Part-Time Equity Options Software Engineer and shape the future of high-frequency trading systems. We're seeking a passionate developer to build low-latency platforms for complex equity derivatives in our Seattle innovation hub. This role offers flexible hours while working on mission-critical infrastructure that processes billions in daily trades. Collaborate with PhD quants and senior engineers to optimize pricing models and execution algorithms. Ideal for professionals seeking impactful part-time work in FinTech without compromising on technical depth.

Responsibilities

  • Design and implement low-latency trading systems for equity options pricing and risk management
  • Develop real-time analytics dashboards for options volatility surfaces and Greeks calculations
  • Optimize C++/Python code for high-frequency market data processing (FIX protocol)
  • Integrate with exchanges (NYSE, CBOE, Nasdaq) and dark pools via proprietary APIs
  • Build automated testing frameworks for options pricing models and execution strategies
  • Collaborate with quantitative analysts to refine Black-Scholes and Monte Carlo implementations
  • Document technical specifications and contribute to codebase modernization initiatives

Qualifications

  • 3+ years of experience in C++/Python development for financial systems
  • Expertise in equity derivatives pricing (Black-Scholes, Binomial models)
  • Familiarity with FIX protocol and exchange connectivity solutions
  • Experience with low-latency systems (nanosecond-level optimizations)
  • Strong knowledge of options Greeks (Delta, Gamma, Vega, Theta) and risk metrics
  • Bachelor's degree in Computer Science, Mathematics, or Finance
  • Proficiency in Linux environments and containerized deployments (Docker/Kubernetes)
  • Experience with cloud platforms (AWS/GCP) for scalable financial applications

Required Skills

C++ Python Equity Derivatives Low-Latency Systems FIX Protocol Options Pricing Market Data Risk Management Linux Docker AWS Kubernetes

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