Quantile Analytics - Quantitative Researcher - Python/C++

Job Title : Quantitative ResearcherLocation : Indore, IndiaCompany : Quantile Analytics Pvt. Ltd.Experience : 3 to 5 yearsQualification : Bachelor's degree or higher in Engineering, Econometrics, Mathematics, Physics, Statistics, Computer Science, or other relevant STEM fields

About The Company

Quantile Analytics Pvt. Ltd., incorporated in April 2015 in Indore, specializes in delivering quantitative, analytical, and consulting services to alternative investment managers based in the United States. The firm focuses on leveraging quantitative techniques to enhance investment research, develop analytical models, improve trade execution strategies, and manage risk effectively.Quantile Analytics is proud to partner with one of New York's leading alternative investment management firms, managing assets through advanced quantitative equity strategies.

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
  

Ideal Candidate Traits

• Proactive and self-motivated with a keen eye for detail
• Competitive mindset with a strong willingness to learn and grow
• Team-oriented and capable of working under pressure in fast-paced environments
• Passionate about quantitative research and financial markets
  

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