Quantile Analytics - Quantitative Researcher - Python / C++

Job Title : Quantitative Researcher

Location : Indore, India

Company : Quantile Analytics Pvt. Ltd.

Experience : 3 to 5 years

Qualification : 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 :

Ideal Candidate Traits :

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

(ref : hirist.tech)