Quantitative Trader

Position Name: Quant Trader

Location: Gurgaon/Mumbai

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.

- 1+ 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.

Work Mode - Work from Office,5 days a week