Job Description

- Design, develop, test, and maintain Python-based quantitative trading applications and research tools.
- Build and maintain tools to analyze large volumes of historical and real-time market data to identify trading opportunities.
- Collaborate closely with traders and quantitative researchers to implement and enhance trading strategies, as well as generate various analytical reports.
- Maintain and improve various in-house BOD (Beginning of Day) and EOD (End of Day) processes to enhance trading efficiency.
- Research and implement innovative solutions to improve system performance, execution speed, and overall trading efficiency.
- Optimize algorithms, data structures, and applications for low-latency, high-performance trading environments.
- Troubleshoot production issues and ensure the stability and reliability of trading systems.
- Ensure that the various data pipelines used for research are up to date and error-free.





Preferred candidate profile

- Strong proficiency in Python (mandatory); knowledge of C++ is an added advantage.
- Experience with NumPy, Pandas, SQL, and Linux/Unix environments is a must.
- Knowledge of scripting languages such as UNIX shell
- Knowledge of statistics, probability, machine learning fundamentals, and data analysis techniques.
- Positive understanding of Data Structures, Algorithms, Object-Oriented Programming, and Software Design Principles.
- Strong analytical, problem-solving, and debugging skills.
- Go-getter attitude with ability to work under pressure
- Understanding of financial markets, market micro-structure, order flow, and algorithmic trading concepts is an added advantage.
- 1-3 years of relevant experience required

📌 Quant Developer (Bengaluru)
🏢 Qnance Research Capital
📍 Bengaluru