Kevin Jin


New York University

B.S. Finance & Statistics, Stern School Computer Science, Courant Institute


New York, NY

  • GPA: 3.74/4.0
  • 3.95/4.0 in FINC, STAT, CSCI
  • Electives: Macroeconomics, Financial Accounting, Corporate Finance, Equity Valuation, Debt Instruments, Derivative Securities, Linear Algebra, Natural Language Processing, Machine Learning, Numerical Computing, Stochastic Calculus, Time Series, Statistical Inference and Regression Analysis, Operations Management
  • Studied abroad in Shanghai, China from 8/2014–12/2014

Freehold High School

High School Diploma, Computer Science Academy


Freehold, NJ

  • GPA: 3.9/4.0
  • Weighted: 4.82/4.3
  • Top 2%
  • SAT: 2300 (770 Reading, 780 Math, 750 Writing)

Work Experience

Goldman, Sachs & Co.

Analyst, Quantitative Strategies, Securities Division


New York, NY

  • Equities Quantitative Volatility Trading Strats: enabled participation in blind price improvement and routing exposure auctions on BATS EDGX and NYSE AMEX exchanges; increased team's total Request For Quote response count by 2%

Goldman, Sachs & Co.

Summer Analyst, Quantitative Strategies, Securities Division


New York, NY

  • Equities Electronic Market Making Cash Trading Strats: reproduced the output of two proprietary cross-sectional multi-factor risk models and tested the explanatory power of every factor return series with Python
  • Equities Quantitative Volatility Trading Strats: improved execution performance of high-frequency trading system by implementing a linear classifer in C++ that decides which exchange connection in a pool has the lowest latency; picked appropriate lock-free primitives to minimize contention in highly concurrent routine; optimized features and weights

Quant Research Intern, Portfolio Management Team


Red Bank, NJ

  • Independently did research on news sentiment, time series lead‐lag, and network analyses to generate novel models for CDX HY index constituents; implemented and backtested low frequency trading strategies in R
  • Presented an algorithm that clustered companies into communities coextensive with GICS sectors, using only a set of CDS points upfront time series as input; now adapted to discover unknown relationships in networks
  • Explained to traders a time series comparison algorithm I found that detects to what extent and how consistently one series leads or lags the other by matching peaks and troughs; now in the process of being applied to housing statistics
Bad Rabbit Consulting

Software Engineer; System Administrator


Hoboken, NJ

  • Provided Huron‐Click® Portal tech consulting for the Children's Hospital of Philadelphia in eResearch domains; liaised with medical research experts to resolve 226 enhancement and bug fix tickets in 834 billable hours
  • Led development and architecting work of a C# web service to automate releases to QA and production systems; liaised with admins to implement the full procedure that saves each client ~10 billable hours per week

Extracurricular Activities

Quantitative Finance Society

Analyst, Quant Portfolio


New York, NY


Project Maintainer


Marlboro, NJ

  • Redesigned and optimized Java‐based massively multiplayer online game server emulator; launched a testing server
  • Achieved 30 days of uptime with 20 concurrent players, sub‐30ms latency, and sub‐100mb memory usage
  • Managed an enthusiastic community (>100 members) that assisted in identifying bugs


1st place University of Chicago Midwest Trading Competition Options market maker case

Chicago, IL


2nd place JPMorgan Chase & Co. Code For Good Challenge NYC 2015, Best technology

New York, NY


1st place American Computer ScienceComp. Sci. League All Star Competition, 5 person Senior Division (international, postseason)

Freehold, NJ


1st place American Computer ScienceComp. Sci. League Northern Division, 5 person Senior Division (regional, regular season) [x2]

Freehold, NJ

5/2013, 5/2012

1st place New Jersey Institute of Technology High School Programming Contest (regional) [x2]

Newark, NJ

3/2012, 3/2011

Interests & affiliations

  • Association for Computing Machinery
  • Tech@NYU
  • Hackathon competitions
  • Quantitative Finance Society
  • Business Analytics Club
  • Case competitions

Skills – server applications

  • Java (Expert)
  • C# & Visual Basic .NET (Expert)
  • C++ (Strong)
  • Unix shell scripting (Working)
  • Windows PowerShell (Working)

Skills – web design

  • JavaScript & jQuery (Expert)
  • MySQL (Expert)
  • HTML (Expert)
  • CSS (Expert)
  • PHP (Strong)

Skills – analytic

  • VBA macros (Expert)
  • R platform (Strong)
  • Bloomberg Terminal (Working)
  • Distributed computing (Working)
  • ElasticSearch (Working)

Skills and Interests


  • Java
  • C#
  • Bash shell
  • SQL
  • JS
  • HTML
  • CSS
  • VBA macros
  • R
  • Bloomberg Terminal


  • Machine learning
  • Natural language processing
  • Distributed computing
  • Hackathons
  • Cycling