- Applied data analytics to evaluate risk and determine loan pricing, enhancing decision-making processes and client satisfaction. Analysed borrower and property data to assess loan viability and optimise financial products.- Collected and analysed comprehensive client financial data to provide personalised mortgage solutions. Utilised insights from income, employment, and financial history analyses to tailor recommendations, contributing to a 20% increase in client satisfaction.- Streamlined mortgage processing workflows through the development of a staff guidance document and the application of mortgage software, achieving a 15% improvement in processing speed and setting new operational benchmarks.

- Support the trading team by reviewing, integrating, and deploying new and existing technology tools to automate trading processes (Expert Advisor).- Understand comprehensive data analysis on CFD forex trading, focusing on gold prices and other popular trading products, utilizing macroeconomic and technical indicators to predict market movements.- Suggested applying technical indicators including moving averages, MACD (Moving Average Convergence Divergence), and Bollinger Bands to identify market trends and reversal points.- Assisted in the collection, pre-processing, and analysis of trading data, streamlining the data analysis process and improving model development timelines by 15%.

- Conducted quantitative analysis to support due diligence on 2 deals, utilizing financial statement analysis and revenue modeling techniques.- Streamlined complex financial data into concise reports, enhancing readability and comparability across different company financial statements.- Applied statistical methods and data modeling techniques to assess investment portfolio's fair value, risk and economic capital, aiding in data-driven decision making.- Analyzed M&A trends to identify acquisition opportunities for a portfolio company and assess its market opportunities.

- Participate in strategic reserve research work, focusing on real estate-related industry segments, and complete the research report on "Analysis of the characteristics of domestic operating REITs";- Collated financial data of target companies, built models and analysed future market value space; Completed company business analysis, including structural analysis, refining relevant top-performing companies and valuation analysis.- Analysed the product development policy, environmental background, product structure, and market situation and compared the differences between domestic and international products.

- Collaborated in a team effort to enhance algorithmic trading strategies by integrating advanced machine learning models, including Gradient Boosting and Multilayer Perceptron (MLP), contributing to a 15% increase in trading profitability.- Participated in comprehensive data analysis of high-frequency trading data, assisting in feature engineering to extract predictive signals from price movements, volume data, and various technical indicators.- Contributed to the development and optimization of Gradient Boosting and MLP models for forecasting short-term market trends, helping to optimize trade executions and significantly reduce market impact, thereby enhancing trade profitability.- Supported the implementation of robust back-testing protocols to evaluate model performance, focusing on metrics such as prediction accuracy, precision, and ROI, which verified the effectiveness of the trading algorithms.- Worked within a cross-functional team to assist in integrating predictive models into the trading platform, ensuring efficient execution of high-volume trades based on model insights and recommendations.

- Conducted extensive industry and company research, identified potential business trends, and opportunities leveraging data-driven approaches; Actively involved in executing projects involving private financing, M&A transactions, and comprehensive market analysis.- Collated financial data of target companies, built models and analyzed future market value space; Completed company business analysis, including structural analysis, refining relevant top-performing companies and valuation analysis.