• Credit Risk Modeling for the firm’s risk-taking activities in fundamental credit asset classes from Corporate bond, Muni, Sovereign bonds to RMBS, RML and other structure products, as well as credit insurance (Trade Credit, Surety, Reinsurance, etc.).• Develop analytics and processes supporting credit risk management review on new transaction evaluation and insurance pricing to front desk for decision making.• Provide effective review and challenge of the on-going infrastructure enhancement activities, particularly in the review of internal and vendor models, input assumptions, loan-level overwrites, and results.• Streamline quarterly credit risk capital reporting process using python and represent to credit risk officers.• Fully automate and visualize the reporting process for AIG’s entire real estate investment portfolio including RML, RMBS, and Real Estate Equity Investments. Using multiple data analytic tools (SQL, Python) to streamline data extraction, data transformation, and loading end results to PowerBI.• Collaborate with infrastructure team on testing of different Credit model implementation including using various Risk Model applications Risk Frontier via Moodys.• Consolidated and streamlined various Investment exposure reports into Power BI and developed the reports for AIG ERM committee.

1. Collected relevant data, news, and information on commodities by using newspapers and other resources. Locate, save, and catalog information as it pertains to commodities’ information.2. Data cleaning by using Matlab. Analyzed commodity futures’ daily price to assure the accuracy of database.3. Early analysis of commodity research by calculating return, risk premium, volatility and etc.

1. Analyzed the business operations of company by calculating turnover rate of inventories and account receivables to budget accounting items quarterly.2. Participated in the company’s evaluation of financial products by analyzing and comparing the risk and effective rate of return of different choices.3. Tracked inventory levels and determined depreciation of fixed assets for the start-up enterprise.4. Performed data entry of daily cash transactions, assisted with the entry and management of expenses.

1. Recorded letters of credit. Notified beneficiary company and checked the notice fee.2. Prepared financial data for analysis of business and financial performance, including data for weekly and monthly flash reports, projections and business reviews.3. Identified various partners for Business license.