Job Description
Are you a software engineer passionate about the intersection of finance and cutting-edge technology? Apex Derivatives Technologies is seeking a talented Software Engineer to join our elite team in Minneapolis. We build the infrastructure that powers next-generation equity options trading platforms, delivering speed, accuracy, and innovation to the financial markets.
In this role, you will work directly with quants and traders to translate complex financial models into robust, scalable software solutions. You will have the opportunity to shape the future of algorithmic trading and contribute to a product used by institutional investors worldwide.
Responsibilities
- Develop Pricing Engines: Design and implement complex algorithms for real-time equity options pricing and valuation.
- Optimize Performance: Refactor code to reduce latency and improve throughput for high-frequency trading systems.
- Build Risk Management Tools: Create APIs and dashboards to monitor portfolio risk, Greeks, and exposure in real-time.
- Data Pipeline Architecture: Build scalable data ingestion pipelines to handle vast amounts of market data and trade execution logs.
- Collaborate with Quants: Work closely with quantitative analysts to integrate new financial models into the trading engine.
- System Maintenance: Monitor system health, troubleshoot issues, and ensure 99.99% uptime of critical trading infrastructure.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or Computational Finance.
- Experience: 5+ years of professional software engineering experience, with a focus on C++, Python, or Java.
- Domain Knowledge: Strong understanding of Equity Options, Derivatives, and financial market mechanics.
- Technical Skills: Proficiency in distributed systems, microservices architecture, and database technologies (SQL/NoSQL).
- Mathematical Acumen: Solid grasp of statistical modeling, probability theory, and calculus concepts.
- Tools: Experience with Git, CI/CD pipelines, and containerization technologies (Docker/Kubernetes).