Position Name : Quant Researcher.
Location : Gurgaon.
Experience Range : 2+years.
Role Overview :
We are seeking a highly motivated and analytical Quantitative Trader to join our dynamic trading team.
In this role, you will design, implement, and execute data-driven trading strategies across various asset classes.
Youll work in a fast-paced, collaborative environment where creativity, precision, and agility are key.
Key Responsibilities :
- Develop, backtest, and deploy algorithmic trading strategies using historical and real-time market data.
- Monitor and manage the performance of live strategies; optimize and refine models based on results and market behavior.
- Conduct in-depth quantitative research to discover alpha signals and improve existing models.
- Collaborate with developers and researchers to enhance trading infrastructure, data pipelines, and execution systems.
- Analyze risk and maintain robust risk management practices in all aspects of trading.
- Stay updated with market trends, regulatory changes, and trading technologies.
Requirements :
Bachelors, Masters, or Ph.D. in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or Engineering.2+ years of experience in a quantitative trading or research role (internships also considered for junior roles).Strong programming skills in Python, C++, or Java (Python preferred).Experience with data analysis, statistical modeling, and backtesting frameworks.Solid understanding of financial markets, trading instruments, and market microstructure.Familiarity with tools such as Pandas, NumPy, scikit-learn, KDB+ / q, or similar.Excellent problem-solving skills, attention to detail, and ability to work under pressure.Preferred Qualifications :
Experience in high-frequency or low-latency trading environments.Knowledge of machine learning or deep learning techniques.Exposure to cryptocurrencies, futures, options, or other derivatives.Familiarity with FIX protocol or working with trading APIs.ref : hirist.tech)