Sihui L.

Quantitative Researcher at Manteio Capital
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Contact Information
us****@****om
(386) 825-5501
Location
US
Languages
  • Chinese Native or bilingual proficiency
  • English Native or bilingual proficiency

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Experience

    • United States
    • Investment Management
    • 1 - 100 Employee
    • Quantitative Researcher
      • Jan 2023 - Present

    • United States
    • Financial Services
    • 700 & Above Employee
    • Quantitative Researcher
      • Oct 2022 - Jan 2023

      • Created models (Stepwise Regression/KNN/XGBoost/RandomForest) to fill missing bond pricing features • Applied bootstrap sampling to reduce the variance of model evaluation • Created models (Stepwise Regression/KNN/XGBoost/RandomForest) to fill missing bond pricing features • Applied bootstrap sampling to reduce the variance of model evaluation

    • Quantitative Researcher
      • Mar 2022 - Jul 2022

      • Completed data preprocessing and backtesting on Thomson Reuters top-level market data and CME PCAP data • Automated monitoring and arbitrage detection for cross-exchange arbitrage paths in commodity contracts • Constructed more than 50+ signals with ICIR >=0.1 using order flow data in the CME commodity futures market • Optimized factor parameters using genetic algorithm based on PyGAD package in Python • Completed data preprocessing and backtesting on Thomson Reuters top-level market data and CME PCAP data • Automated monitoring and arbitrage detection for cross-exchange arbitrage paths in commodity contracts • Constructed more than 50+ signals with ICIR >=0.1 using order flow data in the CME commodity futures market • Optimized factor parameters using genetic algorithm based on PyGAD package in Python

    • United States
    • Higher Education
    • 700 & Above Employee
    • Data Analyst (Student Assistant)
      • Nov 2019 - Mar 2020

      • Conducted data collection, cleaning, and manual labeling on daily invoices from all department • Built a rule-based classification model for invoices and other requests based on practical accounting principles • Reviewed and examined the previous record to ensure the accuracy and consistency of the classification results • Conducted data collection, cleaning, and manual labeling on daily invoices from all department • Built a rule-based classification model for invoices and other requests based on practical accounting principles • Reviewed and examined the previous record to ensure the accuracy and consistency of the classification results

    • Investment Management
    • 1 - 100 Employee
    • Equity Research Intern
      • Jun 2018 - Aug 2018

      • Completed daily market reports with macro indicators such as home sales, consumer sentiment, the misery index • Assisted data analyst in conducting firm-level equity research to give short/long-term target price prediction • Completed daily market reports with macro indicators such as home sales, consumer sentiment, the misery index • Assisted data analyst in conducting firm-level equity research to give short/long-term target price prediction

Education

  • University of Chicago
    Master of Science - MS, Financial Mathematics
    2022 - 2023
  • University of California, Los Angeles
    Bachelor of Science - BS, Financial Actuarial Mathematics

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