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Finance Technology 🏢 Full Time ⭐️ Verified

Equity Options Software Engineer - Austin, TX (Remote)

Apex Financial Technologies
Austin, Texas
Estimated Salary
USD 140.000 – USD 190.000
Live Update
12 Agustus 2026
Deadline
12 Agu 2027

Job Description

We are seeking a world-class Equity Options Software Engineer to join our elite quantitative trading division. Apex Financial Technologies is revolutionizing the equity derivatives market by building high-frequency, low-latency trading systems that outperform the competition. Based in the vibrant hub of Austin, TX, our team works remotely across California and the US to drive innovation in options pricing and execution.

In this pivotal role, you will bridge the gap between complex financial mathematics and robust software engineering. You will be responsible for developing and maintaining pricing engines, optimizing risk management algorithms, and ensuring our systems remain resilient under extreme market conditions. If you are passionate about the intersection of finance and code and want to work with the best in the industry, we want to hear from you.

Responsibilities

  • Design, develop, and optimize high-performance software for equity options pricing and risk management.
  • Implement and maintain complex financial models (e.g., Black-Scholes, Monte Carlo simulations) in C++ and Python.
  • Collaborate with quants to translate mathematical models into production-ready code.
  • Reduce latency and improve throughput in our execution engines and market data pipelines.
  • Conduct code reviews and mentor junior engineers on best practices for low-latency systems.
  • Monitor system performance and troubleshoot issues in live trading environments.

Qualifications

  • Master’s or Bachelor’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
  • Strong proficiency in C++ (ideally C++17/20) and Python.
  • Deep understanding of options theory, derivatives pricing, and market microstructure.
  • Experience with threading, memory management, and performance profiling.
  • Familiarity with financial APIs (Bloomberg, Refinitiv) or libraries (QuantLib, Boost).
  • Ability to work in a fast-paced, high-pressure environment with a focus on accuracy and speed.
  • Self-starter with excellent problem-solving skills and communication abilities.

Required Skills

C++ Python Options Pricing Quantitative Finance Low-Latency Risk Management Black-Scholes Monte Carlo Market Data Threading

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