• Investigating the impact of upcoming US election on Equity Market.

• Monitoring risk shocks across portfolios and asset classes on a Total Fund level.• Extract risk factors to construct risk benchmarks for Equity, Bond, Commodities and Derivatives.• Prepare and update reports and presentation via Python and Power BI to senior risk directors on risk modeling, budgeting and monitoring.• Implement and cater to on-demand requests from Risk and various investment departments across the Fund

• Run risk models to determine impact of changes in portfolio and economic assumptions.• Conduct numeric analysis on simulation results and risk metrics.• Review financial documents and compare reported data from different asset managers.

• Quantitative research regarding extreme market events.• Utilizing machine learning clustering methods (ex. K-Means) for stocks selection and filtering.• Portfolio construction via Mean Variance Portfolio Optimization using clustered stocks.• Managed a team of 6 for numerous projects.

• Conduct quantitative factor research utilizing institutional trading flows data.• Implementing Lasso regression for equity factor selection.• Utilizing statistical tests in identifying abnormal asset return.

• Working under Professor Peter Cziraki to research corporate insider trading profit.• Assisting in identifying media coverage & disclosure as a factor in reducing corporate insider trading activities. • Collected and organized categorical data regarding coverage and operations of local newspapers across the U.S.

• Search fund looking for companies with $2-5M EBITDA to acquire and operate.• Spearheaded buyout due-diligence including macro-economic and industry research, market sizing and company analysis, reporting directly to fund Principals.• Prepared Investment reports on companies in which CIMs/financials are obtained. • Investment reports consists of business analysis on the owner’s motivation to sell, current and future revenue streams, Industry trends, key risks, and LBO valuation model.