Saeb Muhammad Jafri

Conducts fundamental equity research and portfolio management for the company's equity portfolio, preparing financial models and reports. Supervises a team of junior analysts and coordinates with sell-side research houses.

Designed curriculum on AI applications in time series analysis and Python programming. Supervised students in Python and data mining tool (Orange) for practical learning.

Directed end-to-end credit rating assignments for a portfolio of ~150 companies, overseeing a team of 5 analysts. Authored rating methodologies and optimized peer group benchmarking using SQL and advanced Excel, achieving a ~30% reduction in turnaround time.

Conducted detailed business and financial risk assessments across various sectors, prepared over 50 data-driven summary and recommendation reports for internal rating committees, and executed credit ratings for financial instruments including corporate bonds and sukuks.

Analyzed financial statements to assess credit risk and made recommendations on extending credit lines. Delivered 20+ creditworthiness reviews, supporting $5M+ credit line approvals.

Executed in-depth macroeconomic, industry, and company-specific research to inform investment decisions, publishing 15+ sector and company reports with buy/sell recommendations. Developed financial models to forecast equity performance, improving portfolio returns by 12%.

Supported a Director-level head in managing a business unit by preparing financial projections, performance reviews, and strategic targets. Developed and implemented detailed financial models, contributing to an 18% improvement in budget optimization.

Grade: 3.56/4.00

MS in Business Analytics from KSBL, with a CGPA of 3.56/4.00. Thesis focused on forecasting PKR-USD parity using traditional and ANN techniques.

Grade: 3.59/4.00

Bachelor's in Business Administration with a focus on Accounting and Finance, achieving a CGPA of 3.59/4.00.