Quantitative Analyst

Location: Kolkata

Experience: 3 to 5 years

About the Role:

Quantitative Analyst

Key Responsibilities:

• Work closely with senior quants, traders, and portfolio managers to research, analyze, and model market data.
• Clean, structure, and maintain large and complex datasets from multiple market sources.
• Perform quantitative analysis using regression, time-series modeling, and statistical techniques to identify trading opportunities.
• Develop and maintain Python-based analytical tools, scripts, and data pipelines.
• Conduct backtesting and performance evaluation of models under senior supervision.
• Document code, methodology, and research findings systematically.
• Gradually take ownership of independent mini-projects contributing to trading or risk management workflows.

Required Skills & Qualifications:

• Education:

   Bachelor's or Master's degree in a quantitative or technical field — Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, or Finance.

• Programming:

   Proficient in 

  Python

   with working knowledge of libraries such as NumPy, pandas, scikit-learn, and matplotlib.

• Database Skills:

   Familiarity with 

  SQL

   or equivalent database tools for data extraction and management.

• Quantitative Techniques:

   Understanding of 

  basic statistics, regression analysis, and time-series modeling

  .

• Financial Knowledge:

   Foundational understanding of financial markets, instruments (equities, futures, options), and trading concepts.

• Mindset:

   Analytical, detail-oriented, curious, and eager to learn from experienced professionals.

Preferred Qualifications:

• Experience working with market data feeds or APIs (e.g., Bloomberg, Reuters, NSE/BSE data, etc.).
• Prior exposure to quantitative research, data analysis, or systematic trading projects (internship or academic).
• Familiarity with Git, Jupyter, or other collaborative coding tools.
• Knowledge of basic risk management or performance attribution metrics.

What We Offer:

• Opportunity to work in a 

  live trading environment

   with exposure to real strategies and portfolio decision-making.

• Mentorship

   from experienced quantitative researchers and traders.
• Scope to 

  develop and own independent analytical projects

   over time.
• Competitive compensation with performance-based growth.
• A 

  collaborative, meritocratic, and data-driven culture

   that encourages innovation and learning.