Xin Liu
Contractor Default Prediction Modelling @Xenex Enterprises Inc
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WORK HISTORY
Contractor Default Prediction Modelling @Xenex Enterprises Inc
Etobicoke, ON, CA
Worked with customers to help them evaluate their risk profile for various projects. Applied statistical modelling after reviewing the cash flow statement, income statement and financial statement. Plotted data into the chart and analyzed trends to provide scores to customers to explain their level of project risk.Key Skills Developed- Risk evaluation- Financial modelling- Statistical modelling- Financial statement analysis - Risk scoring- Communicating with customers - R coding language - Excel, PowerPoint, MSTeams - Summary reports
EDUCATION
Western University
Master's degree
University of Toronto Mississauga
Bachelor's degree
ABOUT XIN LIU
During my undergraduate studies at the University of Toronto Mississauga, where I majored in Economics and Statistics, I developed a strong passion for financial risk assessment. Additionally, I gained experience in my internship experience at Xenex Enterprises Inc, where I am applying to a project focused on a contractor default prediction model. I\'m excited to share that after completing my Economics and Statistics degree at the University of Toronto Mississauga, I\'ll be pursuing my Master\'s in Financial Economics at Western University this fall. This program will allow me to deepen my quantitative finance expertise while gaining hands-on experience in financial modelling and risk analysis. This next step will prepare me to make meaningful contributions in financial analysis and risk management roles after graduation. I’m passionate about leveraging quantitative methods to solve real-world financial challenges and would love to connect with professionals in risk management, financial modelling, or quantitative finance. If you’re looking for a motivated, analytically skilled candidate or have insights about MFE programs, let’s connect! Additional skills: time management, leadership, essay writing, report, zoom, teams, Instagram.
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