Turn data into insights. Help shape smarter investment decisions.
Role Overview
We are seeking a detail-oriented and analytical Quantitative Analyst to join our Institutional Equity Division. This role is designed to build your quantitative, analytical, and technical capabilities while giving you hands-on experience in institutional equity workflows and data-driven trading strategies.
Automate workflow comparisons and perform line-up analysis based on system logs and trade data.
Extract quantitative outputs from back testing XML files or documents and present them in a consolidated, customizable format.
Build and manage data dependency trees for analytics, including index-based dependencies and relevant database query pipelines.
Lead basket back testing efforts, including managing assumptions around historical data backfills.
Analyse and classify basket-level asset exposures,
providing transparency into allocation and risk components.
Design, build, and deploy AI agents to support Equity Research and Sales workflows, including research automation, insights generation, and sales enablement.
Qualifications & Skills
Education:
B com / Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, Engineering or a related field.
Skills & Experience:
Solid quantitative and analytical skills.
Proficiency in Excel, Python, SQL or similar tools.
Understanding of equity markets, trading systems or financial data is a plus.
Excellent problem-solving and communication skills.
Apply Now Be part of a team that values curiosity, drives innovation, and turns data into smarter decisions