Samuel Chian

AI Researcher

Stamford, Connecticut, United States4 yrs 1 mo experience

Most Likely To Switch

Key Highlights

Strong foundation in quantitative analysis and data science.
Experience in developing automated trading strategies.
Proficient in multiple programming languages for data analysis.

Stackforce AI infers this person is a Fintech-focused quantitative analyst with strong programming and data modeling skills.

Contact

dustfromsky@gmail.com LinkedIn

Skills

Core Skills

Quantitative AnalysisData AnalysisNatural Language ProcessingTeachingData Modeling

Other Skills

CalculusExcel VBALaTeXLeadershipMATLABMachine LearningMathematicsMicrosoft ExcelMicrosoft OfficeMicrosoft PowerPointMicrosoft WordNatural Language Processing (NLP)Numerical AnalysisPandas (Software)Public Speaking

About

A graduate student at Stanford University pursuing a degree in computational and mathematical engineering, with a keen interest in mathematical modeling and data analysis. I hope to pursue a career in quantitative finance or data science. Beyond the scope of my studies and career, I am greatly interested in music theory and harmony, and am a budding weightlifter.

Experience

Trexquant investment lp

Quantitative Researcher

Aug 2024 – Present · 1 yr 7 mos · Stamford, Connecticut, United States · On-site

Barclays

Quantitative Trading Summer Associate

Jun 2023 – Aug 2023 · 2 mos · New York, United States · On-site

Built automated client analysis template in Excel VBA to dynamically analyze trading strategies for clients.
Improved the speed of data extraction algorithms by over 2x to assist in the design of quantitative indices.
Augmented existing web scraping tool with fuzzy string-matching error detection metrics for further checks.

Python (Programming Language)Visual Basic for Applications (VBA)Natural Language Processing (NLP)Quantitative AnalysisData Analysis

Walleye capital

Quantitative Research Intern

Jun 2022 – Aug 2022 · 2 mos · Boston, Massachusetts, United States

Researched alpha generation opportunities from unstructured textual data using Natural Language Processing and Machine Learning (Spacy, NLTK, scikit-learn, PyTorch)
Implemented efficient, parallelized algorithms to calculate > 80 technical trading indicators from market data in R
Created dashboards and visual tools to identify losses and slippages in trading (Dash & Plotly)
Modeled trading costs and slippages using gradient-boosted tree models (CatBoost) to reduce costs

Pandas (Software)SQLMachine LearningPython (Programming Language)R (Programming Language)Data Analysis+1

Northwestern university

2 roles

Teaching Assistant

Sep 2021 – Jun 2022 · 9 mos · Evanston, Illinois, United States

Created lesson plans and led 50-minute weekly discussion sessions for students
Tailored office hours and adapted content to students of diverse backgrounds
Evaluated homework and examinations to provide developmental feedback for student improvement

CalculusTeachingMathematics

Undergraduate Research Assistant

Jun 2020 – Dec 2020 · 6 mos

Applied stochastic Susceptible-Infectious-Susceptible (SIS) epidemiology models to the US elections and forecasted the results in MATLAB and R
Implemented statistical techniques (Statistical Sampling, Principal Component Analysis (PCA) & Factor Analysis) to identify key parameters in the modeling process
Updated website with regular forecasts in HTML (https://modelingelectiondynamics.gitlab.io/2020-forecasts/index.html)
Created static and dynamic visualizations to show results and help non-scientific readers better understand uncertainty

MATLABNumerical AnalysisSimulationsData ModelingStochastic Differential Equations