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Financial Services 🏢 Full Time ⭐️ Verified

Equity Options Software Engineer - Weekend Shift

Apex Derivatives
Chicago
Estimated Salary
USD 125.000 – USD 160.000
Live Update
29 Juli 2026
Deadline
29 Jul 2027

Job Description

We are seeking a highly skilled Equity Options Software Engineer to join our elite trading floor in Chicago, IL. In this critical role, you will be responsible for building and maintaining the low-latency systems that power our options pricing engines, ensuring we stay ahead in the competitive financial markets.

As a Weekend Shift Engineer, you will oversee the end-of-week settlement processes and system maintenance, ensuring zero downtime and optimal performance for our trading infrastructure. Our firm also has a growing presence in Virginia, and we are looking for a dedicated professional to help scale our operations. If you are passionate about high-frequency trading, quantitative finance, and working in a high-pressure, high-reward environment, we want to meet you.

Responsibilities

  • Develop and optimize low-latency C++ and Python code for equity options pricing models.
  • Manage and maintain critical weekend systems to ensure uninterrupted market access.
  • Debug and resolve complex latency issues in high-frequency trading environments.
  • Collaborate with quants and traders to refine pricing algorithms based on market data.
  • Implement robust error handling and failover mechanisms for weekend trading operations.

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 3+ years of experience in software engineering within the financial services or trading sector.
  • Strong proficiency in C++ and Python, with a deep understanding of memory management and threading.
  • Experience with options pricing models (Black-Scholes, Binomial trees) is highly preferred.
  • Availability to work weekends (Saturday/Sunday) as part of a rotational shift schedule.

Required Skills

C++ Python Low-Latency Options Pricing Black-Scholes Financial Markets Risk Management

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