• Model Validation: Validated client’s model valuation results and sensitivity results for bonds, spots, forwards, swaps, futures, IRS, CCS, CDS, TRS, swaptions, interest rate cap and floor, European options, American options, Asian options, digital options, touch options, barrier options, autocall, range accrual, and other products;• Profit and Loss Attribution: According to the client's business development, utilized the revaluation method and sensitivity method to analyze the profit and loss attribution of bonds, FX swaps, IRS, CCS, FX European options, PM swaps, PM futures, etc;• Risk Measurement: Calculated the VaR value of financial products using historical simulation, parametric method, and Monte Carlo simulation, and calculated the ES value, conditional VaR, marginal VaR, and incremental VaR for products with VaR calculated by historical simulation, as well as performed back-testing calculations;• Stress Test: Set up stress scenarios by using the historical simulation method, quartile method, and expert scenario method to conduct a stress test on clients' existing positions, and complete a stress test analysis report based on the results of the stress test combined with relevant macro data and market data;• Limit Management: Evaluated and analyzed the client's existing limit management system and mode, optimized the setup of limit levels and types, limit monitoring and reporting, handling process of limit breaking, limit measurement method, etc;• Capital Measurement: According to the client's business development and Basel III capital measurement requirements, utilized FRTB standard method and simplified standard method to complete market risk capital measurement;• System Design: Assisted the client in designing different parts of the market risk management system, like the Limit Management Module, Abnormal Trading Behavior Management Module, and Investment Strategy Management Module, and participated in the system implementation process.

Focused on Data Visualization • Integrated 100K water quality data (PH, conductivity, turbidity, and other 4 indicators) with Python for NYC Department of Environmental Protection• Established Random Forest and Boosting Algorithm models to predict a certain water sample indicator based on the training set with 100K data and the testing set with 32K data

• Created schedules about concrete pouring for slabs and sharing walls in Beijing government affordable housing project and made a construction acceleration plan to deal with schedule delay caused by rainy season with Primavera P6 software application• Reviewed and analyzed Contractor’s Critical Path Method Progress Schedules on various community-building construction contracts• Controlled and revised the cost estimation of grouting seal beneath an about 65000 m 2 building area foundation• Completed the quality inspection of concrete strength and steel rebar connection to ensure that the concrete and steel engineering quality conforms to the building aseismic design code