Developed quantitative models in Python and SQL to analyze capital flows, market positioning, and sector performance, supporting investment research and strategic decision-making.

Designed financial dashboards and automated reporting systems to monitor asset performance, risk metrics, and exposure across multiple market segments.

Integrated real-time market data APIs into analytical workflows, improving data accuracy and enabling faster turnaround for research requests.

Collaborated with cross-functional teams to translate investment questions into structured analytical frameworks and actionable insights.

Conducted scenario analysis and stress testing simulations to assess downside risk under varying market conditions.

Prepared research summaries, analytical presentations, and briefing notes for senior team members.

Led ad-hoc research projects focused on sector trends, market dislocations, and structural shifts impacting capital allocation decisions.