Xin F.

Xin F. Email and Phone Number

Quant @
Xin F.'s Location
Greater Chicago Area, United States, United States
Xin F.'s Contact Details

Xin F. work email

About Xin F.

Xin F. is a Quant at singh cap. She possess expertise in r, time series analysis, sql, sas, monte carlo simulation and 26 more skills.

Xin F.'s Current Company Details
singh cap

Singh Cap

Quant
Xin F. Work Experience Details
  • Singh Cap
    Quant
    Singh Cap Nov 2023 - Present
  • Dv Trading Llc
    Quant
    Dv Trading Llc Jan 2020 - Aug 2022
    Chicago, Illinois, Us
    crypto cex-dex arbitrage, high frequency future trading, statistical arbitrage,
    View
  • Port 22, Llc
    Quant
    Port 22, Llc Mar 2013 - Jan 2020
    Chicago, Illinois, Us
    High Frequency Trading
    View
  • 3 Twelve Capital, Lp
    Quantitative Analyst
    3 Twelve Capital, Lp Sep 2011 - Mar 2013

Xin F. Skills

R Time Series Analysis Sql Sas Monte Carlo Simulation Vba Matlab Statistics Optimization Statistical Modeling C++ Machine Learning Quantitative Finance Mathematica Trading Strategies Latex Bayesian Statistics Statistical Computing Unix Shell Scripting High Frequency Trading Regression Pde Awk Regression Testing Bloomberg Statistical Arbitrage Python Stochastic Calculus Trading Quantitative Analytics Data Analysis

Xin F. Education Details

  • Michigan State University
    Michigan State University
    Statistics
  • Shanghai Jiao Tong University
    Shanghai Jiao Tong University
    Applied Mathematics

Frequently Asked Questions about Xin F.

What company does Xin F. work for?

Xin F. works for Singh Cap

What is Xin F.'s role at the current company?

Xin F.'s current role is Quant.

What is Xin F.'s email address?

Xin F.'s email address is im****@****ail.com

What schools did Xin F. attend?

Xin F. attended Michigan State University, Shanghai Jiao Tong University.

What skills is Xin F. known for?

Xin F. has skills like R, Time Series Analysis, Sql, Sas, Monte Carlo Simulation, Vba, Matlab, Statistics, Optimization, Statistical Modeling, C++, Machine Learning.

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