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Finance 🏢 Full Time ⭐️ Verified

Senior Equity Options Software Engineer

Quantum Financial Solutions
Kansas City
Estimated Salary
USD 140.000 – USD 180.000
Live Update
19 Juli 2026
Deadline
19 Jul 2027

Job Description

Join our award-winning FinTech team at Quantum Financial Solutions, where innovation meets Wall Street. We're seeking a Senior Equity Options Software Engineer to architect next-generation trading platforms that power institutional derivatives markets. Work remotely from Kansas City or our downtown hub, collaborating with PhD quants and elite engineers to build low-latency systems handling billions in daily transactions.

This role offers unmatched career growth in one of finance's most specialized domains. You'll develop mission-critical components for options pricing engines, risk management frameworks, and market surveillance systems – directly impacting global financial markets.

Responsibilities

  • Design and implement high-performance options pricing algorithms using Monte Carlo simulations and binomial trees
  • Develop real-time risk management systems for options portfolios with 99.99% uptime requirements
  • Build microservices-based architecture for options trading platforms using C++ and Java
  • Optimize market data pipelines handling 50K+ messages/sec for equity derivatives
  • Create regulatory compliance modules for SEC/FINRA options reporting requirements
  • Mentor junior engineers on quantitative finance best practices
  • Collaborate with traders to translate complex strategies into technical specifications

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, or Finance (Master's preferred)
  • 5+ years experience in equity options derivatives technology
  • Expert proficiency in C++ and Java with multithreading expertise
  • Deep understanding of Black-Scholes, stochastic calculus, and volatility modeling
  • Proven track record building low-latency trading systems (sub-100ms latency)
  • Familiarity with FIX protocol and market data feeds (ITCH/ITCHv5.0)
  • Experience with cloud-native deployment (AWS/GCP) and container orchestration
  • Knowledge of regulatory frameworks (Dodd-Frank, MiFID II) for derivatives

Required Skills

C++ Java Python Options Pricing Low-Latency Systems Monte Carlo Simulation Risk Management FIX Protocol AWS Kubernetes

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