Luomeng Yang

I am a dynamic professional specializing in financial risk management and business analytics. My experience spans conducting due diligence, optimizing resource utilization, and developing risk assessment models for organizations in financial services and beyond. Equipped with advanced technical skills in Python, SQL, Tableau, and financial modeling tools like @RISK and AMPL, I thrive on transforming complex datasets into actionable insights to drive decision-making. As a results-oriented and adaptable individual, I am committed to leveraging my analytical expertise to enhance operational efficiency and mitigate risks for organizations worldwide.

Risk Management and Analysis: Conducted due diligence, identified financial risks, and proposed strategies to improve credit and post-loan supervision processes during your internship at China EverBright Bank.

Financial Analysis and Optimization: Optimized financial processes, cleaned large datasets, and reduced operational risks at PICC Life Insurance, improving work efficiency by 20%.

Strategic Financial Planning: Contributed to IPO preparation by developing financial projections, conducting cost analysis, and performing scenario planning with Global Business Consulting Services.

Portfolio Management: Managed a $500,000 student-managed fund, applying risk modeling and Monte Carlo simulations to optimize portfolios and evaluate financial tools.

Master of Science in Business Analytics (University of Maryland, Robert H. Smith School of Business, Expected Dec 2025):

Gained expertise in data analysis and visualization through SQL and Tableau, leveraging insights to optimize business operations.

Developed skills in risk simulation using @RISK software to assess financial volatility.

Master of Science in Financial Risk Management (University of Connecticut, GPA: 3.73, Apr 2024):

Managed a $500,000 student investment fund, applying risk modeling techniques for portfolio optimization.

Conducted Monte Carlo simulations and credit risk analysis, calculating metrics like probability of default and portfolio loss potential.