(Industry: Big Data Solutions for Finance)1, Stakeholder Engagement and Solution Development: Collaborated extensively with Product teams to design and deploy tailored solutions that align with corporate strategies and regulatory requirements. Delivered comprehensive presentations to senior management, illustrating the potential impacts of new credit models on the company’s financial health. 2, Corporate Credit Origination and Risk Optimization: Spearheaded the development and refinement of credit risk models to align with regulatory frameworks and internal credit policies. Utilized advanced predictive analytics to enhance credit decision-making frameworks, contributing to a 5.32% improvement in the accuracy of credit assessments.3, Process Modernization Initiatives: Actively involved in the modernization of credit origination applications, implementing new software solutions that increased process efficiency and data accuracy. Led the transition from traditional methods to automated systems, significantly reducing processing times and operational risks.4, Quantitative Risk Management: Designed and implemented 3 quantitative finance risk management projects in the retail banking sector, ensuring 100% data integrity and validation of risk control strategies. Conducted comprehensive testing and monitoring, optimizing risk management processes.

1, Independent Valuation and Reporting: Performed valuations on target assets for 5 clients using various models, including Binomial Tree and Monte Carlo simulations. Delivered valuation reports that reduced planned timespan by 25%.2, Client Engagement and Reporting: Actively communicated with clients and the M&A team, contributing to the final Listing Feasibility Report. Composed sections on Green Credentials, Regulation Report, Raw Material Suppliers, and Listing Subjects, ensuring timely report integration

1, Database Audit and Schema Design: Conducted a comprehensive audit of internal databases at DPV Health, aligning with Australian data governance standards. Collaborated closely with local teams to tailor the CRM system to meet specific organizational needs, enhancing project efficiency and local operational compliance.2, CRM System Development and Presentation: Collaborated on developing a new CRM system using Microsoft Dynamics 365. Presented the prototype to management, achieving 90% approval for the final design.

1, Developed Quantitative Trading Models: Utilized Python and R to design predictive models for Bitcoin prices, employing advanced statistical techniques like ARIMA and LSTM neural networks, simulating a quantitative trading strategy. 2, Financial Data Analysis: Analyzed historical price data and market trends to identify predictive indicators for real-time trading strategies. Achieved forecast accuracy of 90%, measured by Mean Absolute Scaled Error (MASE).

1, Investigated and evaluated the metrics of economic growth of over 50 cities in 9 provinces located in the less-developed West and Middle of China to target new profitable markets available to conduct trust schemes by utilizing R and Matlab in statistical analysis, contributing to 2% commission growth from the following proposed trust schemes.