Quantitative Researcher-2

Quantile Analytics Pvt Ltd; Indore District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Quantile Analytics Pvt Ltd in Indore is seeking a Quantitative Researcher with expertise in statistical techniques and programming. This role requires conducting research on datasets and developing data-driven trading strategies across equity markets.

The ideal candidate will have a Bachelor's degree in a relevant STEM field and 3 to 5 years of experience in a data-driven research environment. Strong programming skills in Python or C++ are essential for this position.

Qualifications

• 3 to 5 years of experience in quantitative research environments.
• Strong programming skills, particularly in Python or C++.
• Ability to conduct independent research and present findings clearly.

Responsibilities

• Conduct research on large, real-world datasets to develop trading strategies.
• Perform statistical analysis and backtest investment signals.
• Collaborate with team members to solve complex data challenges.

Skills

Strong programming skills in Python and/or C++

Experience in a data-driven research environment

Proficient in building and testing algorithms

Deep understanding of statistical modeling

Hands-on experience with data cleaning

Experience with cloud storage solutions (e.g., Azure)

Excellent communication skills

Education

Bachelor’s degree or higher in Engineering, Econometrics, Mathematics, Physics, Statistics, Computer Science, or relevant STEM fields

Tools

SQL

Job description

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 techniquesCollaborate 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!