Haocheng (Paul) Han
XXXX@XXXX.XXX Unit 1, 411 Summerhill Ln, Ithaca, NY 14850 cell: (XXX) XXX-XXXX EDUCATION
Cornell University, College of Engineering, Ithaca, NY Master of Engineering in Financial Engineering, GPA: 3.5 Expected Dec. 2020
University of California, San Diego, San Diego, CA Bachelor of Science in Probability & Statistics, Bachelor of Arts in Economics March 2019
• Overall GPA: 3.61, Major GPA 3.72
• Department Honors in Economics with Distinction Selected Coursework: Data Mining and Machine Learning, Machine Learning for Data Science, Big Data Technologies, Optimization
Modeling in Finance, Applied Time Series Analysis, Monte Carlo Simulation, Business & Economics Forecasting, Computational Statistics,
Data Structure & OO Design SKILLS
Technical: Python, R, SQL, Tableau, Stata, Java, MATLAB, MS Excel, Bloomberg PROFESSIONAL EXPERIENCE
Summer Business/Data Analyst, DBS Bank, Beijing, China
Aug. to Sept. 2018
• Analyzed the applicability and profitability of the key products and provided support to sales team
• Wrote proposal reports of trade and cash management and presented to the clients
• Monitored digital inventories and maintained data sources, assisted with developing solutions for data input and integration using
Excel and SQL
• Performed various customer clustering analyses that uncovered new market segments using R/Python, identified opportunities for
continuous improvement and provided advisory solutions to the product manager and sales team(improved sales efficiency by 25%)
Summer Investment Analyst, CITIC Guoan Group Co., Ltd, Beijing, China
July to Aug. 2017
• Collaborated across multiple teams to conduct industry analysis on the healthcare industry
• Performed market, management, and risk due diligence on three target companies, evaluated their performance by analyzing third-
party data and communicated with multiple teams including compliance, finance and sales.
• Structured project briefs and pitchbooks, providing financial analysis and strategic investment advice to the investment committee PROJECTS&COMPETITION
AQR Momentum Strategies Fund Case Study (team of 6), Cornell University
Spring 2020
• Analyzed the applicability of momentum strategies in mutual fund and designed multiple momentum strategies by building CAMP
and factor models
• Collected, organized and visualized time-series data; Performed back-tests to determine the performance of different strategies and
provided recommendations to the company board and judges
Predicting Divorce Using Machine Learning (team of 4), Cornell University
Fall 2019
• Identified important features and developed models to predict divorce using logistic regression, cross-validation, discriminant
analysis, decision tree and random forest in R (Test error rate 1.18%)
Hedging the Treasury Bond Index Through Trend Signaling (team of 5), Top 3 in U.S., UBS Hackathon, 2019
Fall 2019
• Developed dynamic bond hedging strategy to mitigate the interest rate spike risk of a portfolio of US treasuries bonds
• Processed, visualized and analyzed historical price data using Python; applied linear regression to establish replicating portfolio of
benchmark index, built hedging models, conducted performance analysis of different models by backtesting and constructed the
strategy report (annualized return 19.5%, sharpe ratio 0.92, maximum drawdown 3.7%)
• Implemented a quantitative investment overlay strategy which improved the Sharpe ratio of the investor portfolio by 20% and
presented the strategy to the judges from different teams (Final round)
Measuring the Effect of Monetary Policy on Household Balance Sheet University of California, San Diego, San Diego, CA (Research Assistant)
Summer 2018 to Spring 2019
• Processed and analyzed over 1 million household asset allocation time-series data; tested the validity of variables via cross-
validation methods and conducted regression analysis to build models
• Applied statistical techniques and quantitative methods to evaluate the effect of monetary policy surprises on household asset
allocation, people’s decision to change jobs and unemployment rate via Stata LEADERSHIP EXPERIENCE
MEng Student Leadership Committee Member, Cornell University
Fall 2019
Teaching Assistant of Microeconomics, University of California, San Diego, San Diego, CA
Winter 2019
Co-Founder & Vice President, A-circle International Youth Business Challenge
Winter 2015 to Summer 2017
ACTIVITIES/INTERESTS
Los Angeles Lakers; Traveling; Boxing; Running; Squash
Document Outline
Haocheng (Paul) Han Haocheng (Paul) Han
XXXX@XXXX.XXX Unit 1, 411 Summerhill Ln, Ithaca, NY 14850 cell: (XXX) XXX-XXXX EDUCATION
Cornell University, College of Engineering, Ithaca, NY Master of Engineering in Financial Engineering, GPA: 3.5 Expected Dec. 2020
University of California, San Diego, San Diego, CA Bachelor of Science in Probability & Statistics, Bachelor of Arts in Economics March 2019
• Overall GPA: 3.61, Major GPA 3.72
• Department Honors in Economics with Distinction Selected Coursework: Data Mining and Machine Learning, Machine Learning for Data Science, Big Data Technologies, Optimization
Modeling in Finance, Applied Time Series Analysis, Monte Carlo Simulation, Business & Economics Forecasting, Computational Statistics,
Data Structure & OO Design SKILLS
Technical: Python, R, SQL, Tableau, Stata, Java, MATLAB, MS Excel, Bloomberg PROFESSIONAL EXPERIENCE
Summer Business/Data Analyst, DBS Bank, Beijing, China
Aug. to Sept. 2018
• Analyzed the applicability and profitability of the key products and provided support to sales team
• Wrote proposal reports of trade and cash management and presented to the clients
• Monitored digital inventories and maintained data sources, assisted with developing solutions for data input and integration using
Excel and SQL
• Performed various customer clustering analyses that uncovered new market segments using R/Python, identified opportunities for
continuous improvement and provided advisory solutions to the product manager and sales team(improved sales efficiency by 25%)
Summer Investment Analyst, CITIC Guoan Group Co., Ltd, Beijing, China
July to Aug. 2017
• Collaborated across multiple teams to conduct industry analysis on the healthcare industry
• Performed market, management, and risk due diligence on three target companies, evaluated their performance by analyzing third-
party data and communicated with multiple teams including compliance, finance and sales.
• Structured project briefs and pitchbooks, providing financial analysis and strategic investment advice to the investment committee PROJECTS&COMPETITION
AQR Momentum Strategies Fund Case Study (team of 6), Cornell University
Spring 2020
• Analyzed the applicability of momentum strategies in mutual fund and designed multiple momentum strategies by building CAMP
and factor models
• Collected, organized and visualized time-series data; Performed back-tests to determine the performance of different strategies and
provided recommendations to the company board and judges
Predicting Divorce Using Machine Learning (team of 4), Cornell University
Fall 2019
• Identified important features and developed models to predict divorce using logistic regression, cross-validation, discriminant
analysis, decision tree and random forest in R (Test error rate 1.18%)
Hedging the Treasury Bond Index Through Trend Signaling (team of 5), Top 3 in U.S., UBS Hackathon, 2019
Fall 2019
• Developed dynamic bond hedging strategy to mitigate the interest rate spike risk of a portfolio of US treasuries bonds
• Processed, visualized and analyzed historical price data using Python; applied linear regression to establish replicating portfolio of
benchmark index, built hedging models, conducted performance analysis of different models by backtesting and constructed the
strategy report (annualized return 19.5%, sharpe ratio 0.92, maximum drawdown 3.7%)
• Implemented a quantitative investment overlay strategy which improved the Sharpe ratio of the investor portfolio by 20% and
presented the strategy to the judges from different teams (Final round)
Measuring the Effect of Monetary Policy on Household Balance Sheet University of California, San Diego, San Diego, CA (Research Assistant)
Summer 2018 to Spring 2019
• Processed and analyzed over 1 million household asset allocation time-series data; tested the validity of variables via cross-
validation methods and conducted regression analysis to build models
• Applied statistical techniques and quantitative methods to evaluate the effect of monetary policy surprises on household asset
allocation, people’s decision to change jobs and unemployment rate via Stata LEADERSHIP EXPERIENCE
MEng Student Leadership Committee Member, Cornell University
Fall 2019
Teaching Assistant of Microeconomics, University of California, San Diego, San Diego, CA
Winter 2019
Co-Founder & Vice President, A-circle International Youth Business Challenge
Winter 2015 to Summer 2017
ACTIVITIES/INTERESTS
Los Angeles Lakers; Traveling; Boxing; Running; Squash
Document Outline
Haocheng (Paul) Han



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