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Assistant Analyst

Location:
Chicago, IL
Posted:
November 18, 2020

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Resume:

Xuechen (Charles) Hong

Address: **** *. **** *** ***., Chicago, IL 60615

Email: ******@********.*** Phone: 773-***-****

Education

The University of Chicago

Intended Majors: Mathematics (B.S.); Economics (B.A.) Expected Graduation: June 2022 GPA: 3.78/4.00 (Dean’s List) SAT score: 1540/1600 (Evidence-Based Reading: 740, Math: 800) Participant of European Civilization in Paris Program (Summer 2019) Financial Markets Program (Selective, 30 Members per Class), Sep 2019 – Now

Accepted into a three-year program focused on building business acumen for quantitative roles in the financial markets through weekly workshops, site visits, and curriculum at the Booth School of Business Experiences

Research Assistant at The Booth School of Business, Dec 2019 – Present

- Research Area: Machine Learning Credit Scoring (Consumer Finance)

- Mentors: Prof. Scott Nelson (Chicago Booth) and Prof. Laura Blattner (Stanford GSB)

- Contribute to their working paper in progress “Credit Reporting and Consumer Heterogeneity”

Develop credit scoring models such as lasso/ridge, logit, XGBoost and random forest for predicting future defaults

Quantify statistical discrimination in consumer credit lending by comparing model performances on different subgroups

Recover bankruptcy defaults’ obsolescence by calculating relevant metrics from panel data

Help brainstorm proofs of propositions, summarize literatures, and draft appendix in professors’ academic paper

Conduct data cleaning and analysis on raw datasets from credit reporting agencies and federal institutions

Research on sampling methods and design a survey for people’s likelihood of declaring bankruptcy during COVID-19

Assist professors in presenting results on NBER conference and attend SI 2020 Household Finance seminar Summer Analyst at FinTech Ranger LLC, Aug 2019 – Sep 2019

Analyzed trading and investment strategies by providing relevant metrics and comparing them to the market

Completed forecasting models for FinTech Ranger clients based on their capital decks

Researched on different financial vehicles and wrote reports on constructing diversified portfolios

Designed a new trading platform with innovative features and presented it in client meetings Extracurricular Activities and Projects

Research Member of Asset Pricing Cohort, Oeconomica at Uchicago, 2018 – Present

Extended the Fama and French Factor Model by considering how political risk affects assets’ returns

Gathered and analyzed data from prediction markets and political events to support our findings Analyst of Maroon Capital at Uchicago, 2018 – Present

Attend workshops and panels organized by club alumni who are now quant traders and investment bankers

Participated in the club's M&A Case Competition, presented in front of board members, and got the 3rd place Forecast Analysis on the Migrant Population's Growth in Wuxi Region and its Effect on Wuxi Industrial Economy, Dec 2016 – Apr 2017

Applied ARIMA Model to predict the migrant population in Wuxi city of China

Used Cobb-Douglas Production Function and statistical regressions to forecast future economic trends The New Variation on Towers of Hanoi, Jan 2016 – Nov 2016

Proved the formulas for the minimum steps of moving disks in a new variation of the classical game

Offered general optimal patterns and a new algorithm Awards

Soong Ching Ling Foundation Scholarship Recipient, Awarded to 3 UChicago Chinese students (Sophomore)

Citadel Securities Trading Challenge at UChicago 2020, Winner and 1st Place (Sophomore)

AMC 12 Certificate of Distinction and AIME qualifier (Grade 11)

China Adolescents Science & Technology Innovation Contest 2017, State 1st Prize (Grade 11)

Shing-Tung Yau High School Mathematics Awards 2016, 2nd Prize in East China (Grade 10)

China Mathematics Olympiad 2016, State 2nd Prize, Top 0.5% (Grade 10) Skills

Computer: Microsoft Office (Fluent), Python (Fluent), R (Basic), SQL (Basic), SPSS (Basic), Bloomberg (Basic) Languages: Chinese (Native), English (Bilingual), Spanish (Elementary), French (Elementary)



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