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About the role
Location: Mumbai Experience: 1 - 5 years Department: Institutional Equities Quant Research About the Role: We are looking for an experienced Quantitative Research Associate to join our Institutional Equities Quant Research team in Mumbai. The role involves developing and maintaining quantitative models, automating data processes, and contributing to research strategy notes. Key Responsibilities: Build and enhance quant models and analytical tools for equity research and strategy. Automate data workflows and model outputs using Python, Excel VBA, and other scripting tools. Perform back-testing and data validation with high accuracy and consistency. Collaborate with the Lead Analyst and the research team to generate actionable insights. Draft and support data-driven reports and quant strategy notes. Requirements: Educational Qualification: Engineering background (Computer Science, IT, Electronics, or related fields). Engineering + MBA preferred. Technical Skills: Proficiency in Python, Excel/VBA, and strong logical thinking. Experience: 15 years in quantitative/financial analytics, preferably within Institutional Equities, Sell-Side Research, or Broking setups. Strong analytical and problem-solving mindset. Excellent written communication and documentation skills. Self-motivated, detail-oriented, and collaborative. Why Join Us: Be part of a fast-paced and intellectually stimulating environment where data, technology, and markets intersect to drive high-impact research. Location: Mumbai Experience: 1 - 5 years Department: Institutional Equities Quant Research About the Role: We are looking for an experienced Quantitative Research Associate to join our Institutional Equities Quant Research team in Mumbai. The role involves developing and maintaining quantitative models, automating data processes, and contributing to research strategy notes. Key Responsibilities: Build and enhance quant models and analytical tools for equity research and strategy. Automate data workflows and model outputs using Python, Excel VBA, and other scripting tools. Perform back-testing and data validation with high accuracy and consistency. Collaborate with the Lead Analyst and the research team to generate actionable insights. Draft and support data-driven reports and quant strategy notes. Requirements: Educational Qualification: Engineering background (Computer Science, IT, Electronics, or related fields). Engineering + MBA preferred. Technical Skills: Proficiency in Python, Excel/VBA, and strong logical thinking. Experience: 15 years in quantitative/financial analytics, preferably within Institutional Equities, Sell-Side Research, or Broking setups. Strong analytical and problem-solving mindset. Excellent written communication and documentation skills. Self-motivated, detail-oriented, and collaborative. Why Join Us: Be part of a fast-paced and intellectually stimulating environment where data, technology, and markets intersect to drive high-impact research.