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Equity Options Software Engineer

Apex Derivatives Solutions
Portland
Estimated Salary
USD 140.000 – USD 220.000
Live Update
29 Juli 2026
Deadline
29 Jul 2027

Job Description

Join the Future of Financial Engineering

Apex Derivatives Solutions is a cutting-edge fintech firm pioneering advanced analytics for the global derivatives market. We are looking for a Senior Equity Options Software Engineer to join our Portland-based team. In this role, you will build the core infrastructure behind our pricing engines and risk management systems, working directly with quants to translate complex mathematical models into production-ready software.

Why Join Us?

  • Competitive Compensation: Base salary of $140k-$220k + Performance Bonus.
  • Flexible Work: Work from our vibrant Pearl District office or remotely.
  • Impact: Directly influence the pricing of billions in equity options daily.

What You Will Do

As a key member of our engineering team, you will be responsible for the lifecycle of our options pricing models and risk reporting tools.

Responsibilities

  • Develop Pricing Engines: Design and implement robust, high-performance software to calculate option prices using various models (Black-Scholes, Monte Carlo, Binomial trees).
  • Performance Optimization: Identify and resolve bottlenecks in C++ and Python code to ensure sub-millisecond latency for real-time trading systems.
  • Data Pipeline Integration: Build ETL pipelines to ingest market data (implied volatility surfaces, historical price data) from various exchanges and vendors.
  • Risk Management Systems: Develop APIs and dashboards to calculate and visualize key risk metrics (Greeks, Value at Risk) for traders and risk managers.
  • Collaboration: Partner closely with quantitative analysts to validate model assumptions and improve mathematical implementations.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Financial Engineering, or a related quantitative field.
  • Technical Skills: Strong proficiency in C++ (low-latency preferred) and Python.
  • Mathematics: Deep understanding of probability, statistics, and stochastic calculus; familiarity with partial differential equations is a plus.
  • Experience: 5+ years of experience in financial software development or building pricing models for derivatives.
  • Tools: Experience with Linux environments, SQL databases, and distributed computing frameworks (Spark, Kafka).

Required Skills

C++ Python Stochastic Calculus Options Pricing Models Risk Management Black-Scholes Monte Carlo Simulation Low-Latency Trading Systems Linux SQL

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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