Quantitative Developer- Intern

About the role

Develop end-to-end computational and modeling capabilities for statistical analysis, text analytics, machine learning, financial instrument valuation, risk assessment, scenario analysis, and simulations. Build solutions on proprietary applications to meet client requirements, follow coding standards, and support the day-to-day execution of assigned projects. The role is intended for fresh graduates or students pursuing a degree in Mathematics, Statistics, Quantitative Economics, or Actuarial Science; no additional certification is required, though FRM or CFA is preferred. Candidates should be proficient in financial valuation and risk assessment, statistical, econometric, and time-series analysis, and Python; database experience is preferred, and fluent spoken and written English is required.