Quantitative Researcher-2

Location: Indore, India
Experience: 3 to 5 years
Qualification: Bachelor’s degree or higher in Engineering, Econometrics, Mathematics, Physics, Statistics, Computer Science, or other relevant STEM fields.

Role Overview

We are seeking a Quantitative Researcher with strong expertise in statistical techniques, data analysis, and programming. Preferably, candidates should have some exposure to the corporate event space. This role involves navigating the full research cycle and applying scientific methods to develop data-driven trading strategies across global equity markets.

Key Responsibilities

• Conduct research on large, real-world datasets to develop and test trading strategies
• Perform statistical analysis and backtest investment signals across equity markets
• Design, develop, and validate predictive models using advanced quantitative techniques
• Collaborate with other team members to solve complex data and modeling challenges
• Present findings in a clear and structured format to both technical and non-technical stakeholders
• Stay abreast of the latest advancements in quantitative finance, machine learning, and data science

Required Skills & Qualifications

• Strong programming skills in Python and/or C++
• Experience in a data-driven research environment, preferably within the financial sector
• Proficient in building and testing algorithms for data processing and strategy evaluation
• Deep understanding of statistical modeling, machine learning, time-series analysis, and pattern recognition
• Hands-on experience with data cleaning, preprocessing, and SQL-based data querying
• Experience working with cloud storage solutions (e.g., Azure)
• Ability to perform independent research and take full ownership of projects
• Excellent communication skills, including the ability to present complex concepts clearly

Join us if you’re excited to work with financial market data and enjoy a fast-paced, team-oriented environment!