LAIGUJIN WEI
***.***@***.*** 917-***-**** linkedin.com/in/gin-wei
EDUCATION
NEW YORK UNIVERSITY, TANDON SCHOOL OF ENGINEERING Brooklyn, NY Master of Science in Financial Engineering Expected 05/26 GPA: 3.78/4
MCGILL UNIVERSITY Montreal, Canada
Bachelor of Arts in Mathematics, minor in Economics 05/24 GPA: 3.92/4
PROGRAMMING / TECHNICAL SKILLS / CERTIFICATIONS
• Skills: Python (NumPy, Pandas, Scikit-learn, PyTorch), Java, R, SQL, LaTeX, MATLAB
• Certifications: Bloomberg Certified.
COURSEWORK HIGHLIGHTS
• Mathematics & Statistics: Option Pricing & Stochastic Calculus / Quantitative Methods in Finance / Stochastic Processes / Probability / Numerical Analysis / Statistics / Applied Regression / Advanced Calculus / ODE / Linear Algebra / Real Analysis.
• Programming: Machine Learning / Intro to Programming (Python) / Intro to Computer Science (Java) / Algorithms and Data Structures (Java) / Statistical Computing (R).
• Finance: Fixed Income Algorithmic Trading / Introduction to Derivative Securities / Risk & Portfolio Management. EXPERIENCE
BANK OF MONTREAL, Toronto, Canada 05/24 - 08/24
Data Scientist Intern, Corporate Audit Department
• Conducted sentiment analysis of risk reports to predict credit risk levels; assisted auditors in identifying anomalies.
• Performed data preprocessing including data cleaning, data transformation and data splitting; utilized AutoTokenizer to automate selection of the best tokenizer at each checkpoint.
• Fine-tuned BERT model to optimum performance for identifying sentiments of risk rationale, conducting hyperparameter tuning and model evaluation, resulted in 99.87% prediction accuracy.
• Incorporated Shapley Additive Explanations Analysis to a sentiment analysis on Twitter dataset to explain the contribution of individual words to model predictions to enhance the model interpretability.
• Presented research findings and recommendations to executive team and stakeholders, highlighting potential future design applications, and received positive feedback.
GUOTAI JUNAN SECURITIES CO., LTD, Chengdu, China 06/23 - 08/23 Quantitative Research Intern, Quantitative Service Department
• Developed a multi-factor model for the CSI 300 Index; constructed factors including moving average price, moving average volume; optimized selection of factors using covariance and linearity analyses.
• Trained linear regression models to predict log returns with 2-year rolling windows; applied backward selection to refine the model performance and executed backtests on the trading strategy.
• Held weekly meetings with team members to update project process and delivered a final presentation. AI ZHAO WO TECHNOLOGY CO., LTD, Chengdu, China 06/21 - 08/21 Business Analyst Intern, Data Analytical Department
• Conducted research and data analysis on wedding order data; identified order patterns and wrote a comprehensive report.
• Implemented consumer survey for company’s application and proposed suggestions, achieving a 99.62% user satisfaction rate. ACADEMIC PROJECTS & FINANCIAL MODELLING
NEW YORK UNIVERSITY, New York, United States 01/25 - 05/25 Machine Learning Project
• Developed a XGBoost model to predict intraday stock volatility for the 2:00–4:00pm session using 5-minute market data.
• Engineered over 20+ features (rolling statistics, volatility trends, direction ratios, market-wide averages) from 636K+ rows of high-frequency data
• Optimized model performance via randomized hyperparameter search, reducing MAPE to 0.23; Ranked Top 5 in the CFM volatility forecasting competition
ZEVNODATA, Toronto, Canada 06/22 - 08/22
Football Competition Dataset Modelling
• Performed Exploratory Data Analysis including distribution and correlation analysis for 1930-2021 football competition dataset.
• Modeled the prediction of match results using the Random Forest Algorithm, achieving an accuracy of 76%. EXTRACURRICULAR ACTIVITIES
• McGill University Mathematics Club, Member, 2023.
• Honors & Awards: Dean's Honor List, Faculty of Arts Merit Award.