Quantitative Analyst Intern

Internship Description This internship provides project-based learning exposure to quantitative analysis, focusing on statistical modeling and time-series analysis applied to financial and economic datasets. Participants will work on guided quantitative modeling projects, learning how mathematical and statistical methods are used in analytical and finance-related contexts. Activities & Exposure Practice implementing regression and forecasting models using Python or R Explore time-series analysis and basic econometric techniques Conduct Monte Carlo simulations and introductory optimization analysis Visualize analytical results using standard plotting libraries Summarize model performance, assumptions, and limitations in reports Outcomes Practical understanding of quantitative modeling workflows Experience evaluating model accuracy and performance metrics Improved ability to explain quantitative results clearly Requirements Preferred Background Background in Mathematics, Finance, Statistics, Engineering, or related fields Proficiency in Python or R and common statistical packages Understanding of probability, statistics, and basic econometric concepts Interest in quantitative analysis or finance-related roles #J-18808-Ljbffr