Junior Quantitative Developer

Position: Junior Quantitative Developer / Trader Location: Chicago Proprietary trading firm specializing in options and derivatives markets. Role Overview As a Junior Quantitative Developer / Trader , you will contribute to the research, development, and execution of systematic options trading strategies. Working closely with senior traders, quant researchers, and software engineers, you will gain hands-on exposure to the full lifecycle of quantitative trading—data analysis, strategy design, coding, backtesting, and real-time implementation. This role is ideal for a driven individual with strong programming skills, a solid understanding of quantitative concepts, and a passion for financial markets. Responsibilities Collaborate with senior traders to develop, test, and optimize systematic trading strategies. Write efficient, high-performance code to implement algorithms for real-time trading and analytics. Conduct data-driven research on market microstructure, volatility patterns, and trading opportunities. Build and maintain tools for pricing, risk management, and portfolio monitoring. Assist in analyzing PnL, identifying areas for improvement, and fine-tuning models. Monitor live trading systems, troubleshoot issues, and ensure robust execution. Stay informed about global market trends, derivatives pricing, and trading technology. Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Statistics, or related field. Technical Skills: Proficiency in C#, Python and/or C++ (or similar low-latency programming languages). Familiarity with SQL and working with large datasets. Understanding of algorithms, data structures, and optimization techniques. Quantitative Skills: Strong analytical and mathematical aptitude, particularly in probability, statistics, and linear algebra. Additional Attributes: A genuine interest in financial markets and trading. Detail-oriented mindset with strong problem-solving skills. Eagerness to learn and adapt to new tools, technologies, and market challenges. Preferred Experience Prior internship or experience in quantitative research, trading, or financial technology. Familiarity with market data feeds, time series analysis, or machine learning techniques is a plus. If you are a highly motivated, hungry, driven individual with a passion for solving complex problems and working in the fast-moving world of options trading, please apply