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# Quantitative Developer

- **Company:** Susquehanna International Group, LLP
- **Location:** Bala Cynwyd, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Algorithm Design, Data Analysis, Software Applications, C++ (Programming Language), Data Systems, Python (Programming Language), Software Engineering, Data Streaming, Information Technology, Low Latency
- **Published:** October 11, 2026
- **Apply:** https://www.dice.com/job-detail/91088c6c-caed-40ff-b891-e09f22bc3019

## About the Role

We are looking for someone who has a strong software development background and demonstrated success working with data intensive quant models at a trading firm or other financial institution., * At least 5+ years of software development experience in C++

 * Hands-on experience with numerical optimization methods for model calibration and tuning
 * Excellent problem-solving skills with a strong ability to understand and implement complex mathematical models
 * Strong communication skills, with the ability to convey technical concepts clearly to a wide range of stakeholders such as researchers
 * Familiarity with financial concepts and instruments related to quantitative trading, pricing, or valuation is a plus
 * Previous experience in options trading is a plus
 * Minimum of a Bachelor's degree in computer science, mathematics, or related STEM field is required
 * Experience with Python, notebooks, and data analysis is a plus

## Description

Susquehanna is looking for a Quantitative Developer to join the Options trading desk. Our team leverages advanced algorithms and sophisticated models to drive our trading strategies. In this role, you will work alongside our quantitative researchers and help with the development, implementation, and optimization of our options pricing models and pricing systems., + Work with quant researchers to understand our pricing logic and implement models in C++

 + Tanslate complex mathematical models into software applications
 + Develop and improve our critical options pricing applications in a performance demanding environment and handle large scale data
 + Integrate pricing with existing trading infrastructure and data systems
 + Ensure seamless data flow and interoperability between systems in our low latency trading environment