Summary
Overview
Work History
Education
Skills
Leadership And Activities
Awards
Projects
Timeline
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Helen Xiao

Chestnut Hill,MA

Summary

As an incoming Quantitative Trading Intern, I am interested in exploring different trading strategies, statistical analysis of markets, and trading algorithms. I hope to extend my knowledge of markets through quantitative research, as well as pursue coding projects to apply and test knowledge on market movement and market behavior.

Overview

4
4
years of professional experience

Work History

Incoming Quantitative Trading Intern

PEAK6
Chicago, IL
12.2023 - Current
  • 9 week long internship including educational series on options trading and market analysis and related research project

Teaching Fellow

Harvard University
Cambridge, MA
09.2023 - Current
  • Statistics 110 (Probability) and Statistics 111 (Statistical Inference)
  • Responsible for teaching section, holding office hours, and grading for topics including but not limited to Probability, Expectation and Variance, Continuous and Discrete distributions, Likelihood, Estimates, Bias-variance tradeoff, Confidence Intervals, Regression, Hypothesis testing, and more

Data Science Intern

The Cincinnati Insurance Company
05.2023 - 08.2023
  • Coded algorithms and performed analysis on multiple data science related projects
  • Projects included tasks ranging from creating a prediction model to access a building's likelihood to experience water damage, to web-scraping state secretary of state pages for verifying business entities, to the conversion of json files to a Labelbox format
  • Coded extensively in Python and occasionally in R.

FTTP and INSIGHT Participant

Jane Street
New York City, NY
08.2022 - 08.2022
  • Learned about market making and quant trading through a series of trading games, lectures, trading competitions involving programming trading bots, and many other mock trading activities.

Forecasting Bias Research

Research
Newton, MA
04.2020 - 11.2020
  • Developed a simple approach for evaluating forecasting data
  • Collected Federal Reserve data on economic growth and inflation, applied approach to data, discovered patterns with the data, and reported them in a joint paper with Boston University econometrics professor Zhongjun Qu
  • Paper made 2021 Regeneron Science Talent Search top 300 scholar.

Education

A.B. Candidate in Statistics (secondary in Computer Science) -

Harvard University
Cambridge, MA
05.2025

Skills

  • Quantitative Analysis
  • Coding in languages: Python, C/C, R, OCaml
  • Data Analysis
  • Statistical Inference
  • Probability
  • Modelling

Leadership And Activities

  • HARVARD UNDERGRADUATE QUANTITATIVE TRADERS, Cambridge, MA, President and former Director of Engagement, 02/2022- present. In charge of organizing events with sponsors to help educate club and Harvard community on quantitative finance, overseeing operations of the club including club engagement, club trading events, club education, and club finances, and planning and organizing Harvard Undergraduate Trading Competition where 150 students from around the country came to Harvard to compete in trading simulations, estimations, and trading games.
  • HARVARD DATAMATCH, Cambridge, MA, Algorithms team, 10/2022 - present. Implemented algorithms to improve a score function for matching students in search of friendship and romantic pursuits. Learned about the Gale-Shapely algorithm used for matching in Datamatch algorithm
  • PBHA CAMBRIDGE AFTER SCHOOL PROGRAM, Cambridge, MA, Volunteer, 10/2021 - present. Tutored middle-school students at Fresh Pond Apartments in Cambridge, assisted students with their homework.

Awards

  • 2021 Regeneron Science Talent Search top 300 scholar
  • American Mathematics Competition 10A Distinguished Honor Roll
  • American Invitational Mathematics Examination qualifier
  • MIT Math Prize for Girls qualifier 2019, 2020

Projects

CS project contributor, 11/2021, Designed and coded a website displaying a Covid-19 dashboard that presents dynamic data on various colleges' Covid-19 statistics. Employed knowledge of Python, SQL, JavaScript, HTML, and CSS to design website.

Timeline

Incoming Quantitative Trading Intern

PEAK6
12.2023 - Current

Teaching Fellow

Harvard University
09.2023 - Current

Data Science Intern

The Cincinnati Insurance Company
05.2023 - 08.2023

FTTP and INSIGHT Participant

Jane Street
08.2022 - 08.2022

Forecasting Bias Research

Research
04.2020 - 11.2020

A.B. Candidate in Statistics (secondary in Computer Science) -

Harvard University
Helen Xiao