Shutong Ding
Data Engineer, Proprietary Research (TMT)
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolShutong Ding is a data engineer and quantitative researcher with 11 years of experience, currently focused on proprietary TMT research at Point72 while completing an MS in Financial Mathematics at the University of Chicago. He combines a strong computational foundation from a BA in Applied Mathematics and Computer Science (Magna Cum Laude) with practical quant experience across hedge funds and UChicago project labs. Proficient in Fortran, R, C#, Python, VBA, .NET, Java and web tech, he bridges legacy numerical code and modern data engineering pipelines. His internships and project-lab roles emphasize rapid prototyping of trading signals and scalable data solutions for research teams. Based in New York, he brings both teaching experience in advanced mathematics and a knack for translating theoretical models into production-ready workflows. Colleagues describe him as a pragmatic problem-solver who thrives at the intersection of math, code, and markets.
11 years of coding experience
Hangzhou Foreign Languages SchoolMaster of Science - MS, Financial Mathematics, Master of Science - MS, Financial Mathematics at University of ChicagoBachelor of Arts - BA, Applied Mathematics & Computer Science, Graduated with Magna Cum Laude and Honors in Computer Science, Bachelor of Arts - BA, Applied Mathematics & Computer Science, Graduated with Magna Cum Laude and Honors in Computer Science at Colgate University
Github Skills (7)
sdmx8
analytical7
constructor7
data-structure6
transcoding4
lists4
fits3
Programming languages (2)
Github contributions (5)
ilostat/smart
May 2019 - Dec 2020
SMART allows users to generate and automate the production of analytical reports defined by means of a SDMX Data Structure Definition (DSD), either from processing micro-level data or from aggregated data by means of transcoding.
Contributions:8 commits, 6 PRs, 8 pushes in 1 year 6 months
sdmxreportsdefineddsdtranscoding
ilostat/dsdc
Nov 2020 - Oct 2023
DSD Constructor is a very simple, standalone tool, which is able to create and edit DSDs and their related artefacts (i.e. concept schemes and code lists) in order to generate a DSD which fits your needs and can be used, for example, by SMART to obtain the output dataset as required.
Contributions:14 PRs, 7 pushes, 2 comments in 3 years
dsdconstructordatasetlistsstandalone
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