Sihui L.
Quantitative Researcher at Manteio Capital- Claim this Profile
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Chinese Native or bilingual proficiency
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English Native or bilingual proficiency
Topline Score
Bio
Experience
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Manteio Capital
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United States
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Investment Management
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1 - 100 Employee
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Quantitative Researcher
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Jan 2023 - Present
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Neuberger Berman
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United States
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Financial Services
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700 & Above Employee
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Quantitative Researcher
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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
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Dingfeng Asset Management
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Shanghai, China
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Quantitative Researcher
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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
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UCLA
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United States
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Higher Education
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700 & Above Employee
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Data Analyst (Student Assistant)
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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
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Guodu Securities
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Investment Management
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1 - 100 Employee
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Equity Research Intern
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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
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Education
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University of Chicago
Master of Science - MS, Financial Mathematics -
University of California, Los Angeles
Bachelor of Science - BS, Financial Actuarial Mathematics