Quantitative Researcher - R/Python (1-2 yrs)

Position : Quantitative Researcher

Location : Sec 132, Noida, Uttar Pradesh 201304

Job Type : On-Site

Working Hours : 10am to 6pm

Competitive compensation

About Us :

Stokhos Research Capital is a premier proprietary trading firm specializing in designing and executing advanced algorithms for financial markets. Leveraging state-of-the-art technology and quantitative research, we develop strategies that range from ultra-low latency high-frequency trading to low-frequency approaches across multiple asset classes and exchanges.

Role Overview :

We are looking for a skilled Quantitative Researcher to join our innovative team. In this role, you will utilize statistical and quantitative techniques to explore and develop cutting-edge trading strategies. Collaborating with traders, developers, and data scientists, you will play a critical role in strategy design, testing, and deployment across diverse markets.

Key Responsibilities :

- Analyze historical data to identify trading opportunities and statistical edges.

- Design and backtest trading strategies using proprietary tools and applications.

- Collaborate with traders and incorporate insights from academic and industry research to create innovative strategies.

- Improve research infrastructure and enhance back-testing frameworks.

- Deploy profitable strategies in live trading environments using in-house software.

- Monitor and optimize deployed strategies to maximize their performance.

Qualification :

Education : Bachelor's or Master's degree in Mathematics, B.Tech, Computer Science, or a related field.

Experience : Minimum 1 year in quantitative research, statistical analysis, or similar domains.

Technical Skills :

- Proficiency in Python and R for data and statistical analysis.

- Experience with C++ for performance optimization.

- Familiarity with Linux/Unix operating systems.

- Strong problem-solving skills and quantitative aptitude.

Preferred Skills :

- Experience with machine learning techniques in financial markets.

- Knowledge of high-frequency or low-frequency trading strategies.

- Strong analytical skills to derive actionable insights from complex datasets.

What We Offer :

- A dynamic, collaborative work environment focused on innovation.

- Career growth and professional development opportunities within a cutting-edge trading firm.