Stokhos - Quantitative Researcher (1-2 yrs)

STOKHOS RESEARCH CAPITAL LLP

Job Title: Quantitative Researcher

Location: Sector 132, Noida, Uttar Pradesh 201304

Job Type: Full-Time

About Stokhos Research Capital LLP:f

Stokhos Research Capital is a leading proprietary trading firm, specializing in developing advanced algorithms and executing them in financial markets. We leverage cutting-edge technology and quantitative research to drive profitability. Our strategies range from ultra-low latency high-frequency trading to low-frequency strategies, traded across various asset classes and exchanges.

Role Summary:

We are seeking a talented Quantitative Researcher to join our dynamic team. The ideal candidate will be responsible for researching and developing trading strategies using statistical and quantitative methods. You will work closely with in-house traders, developers, and data scientists to create and deploy strategies across different markets.

Key Responsibilities:

1. Investigate trading ideas on historical data to identify statistical edges.

2. Design and back test strategies using in-house applications and tools.

3. Collaborate with in-house traders and analyze academic and industry research to develop new trading strategies.

4. Contribute to enhancing the research infrastructure and innovate upon existing back-testing frameworks.

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

6. Analyze deployed strategies to identify opportunities for improvement and optimize performance.

Qualifications:

1. Bachelor's or Master's degree in Mathematics, Computer Science, or a related field.

2. A minimum of 1 year of experience in quantitative research, statistical analysis, or related fields.

3. Strong proficiency in Python and R for statistical/data analysis and experience with C++ for performance optimization.

4. Familiarity with Linux/Unix operating systems.

5. Excellent problem-solving skills and the ability to work independently and as part of a team.

Desired Skills:

- Experience with machine learning techniques applied to financial markets.

- Familiarity with high-frequency or low-frequency trading strategies.

- Strong analytical skills with the ability to turn complex data into actionable insights.

What We Offer:

- Dynamic and collaborative work environment with a focus on innovation.

- Opportunities for career growth and development within a cutting-edge firm.