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Bio

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Ziyan Feng is a seasoned finance and data professional with expertise in investment analysis, risk management, and machine learning. He has worked with top companies such as Decent Capital, American Express, and Claremont McKenna College, and holds a Master of Science in Financial Engineering from Columbia University.

Experience

    • Fund Investment Analyst
      • May 2023 - Present
      • Singapore

      •Monitor and conduct quarterly review on existing multi-asset fund portfolio, help develop risk management and strategic asset allocation framework•Source, conduct due diligence and write investment memos on prospective hedge fund, mutual fund, ETF, and private equity fund investments in Asia and the US•Conduct research on the latest developments in generative AI, source and conduct due diligence on potential co-investment opportunities in generative AI, such as Anthropic and xAI

  • Decent Capital
    • Atherton, California, United States
    • Investment Summer Analyst
      • Jun 2022 - Aug 2022
      • Atherton, California, United States

      • Conducted and presented industry research report on over 100 companies in the AI and NLP industry and gave investment advice for various AI and NLP related startups

  • CraiditX
    • New York, New York, United States
    • Machine Learning Intern
      • Jan 2022 - May 2022
      • New York, New York, United States

      • Cleaned and analyzed customer behavior data during online loan applications in Python with models such as BERT, LSTM, CNN, and weighted random forest to predict risk of default• Conducted research on different models that could be applied to sequential data; proposed and implemented new features and models

  • American Express
    • New York, New York, United States
    • Credit and Fraud Risk Analyst Intern
      • Jul 2020 - Aug 2020
      • New York, New York, United States

      • Processed transaction level data for American Express B2B payment products to produce a supplier database using SQL• Analyzed supplier data to risk profile suppliers in B2B products and evaluate incremental value over existing data sources using python and excel• Implemented a procedure use a name and address Fuzzy Matching algorithm to identify American Express merchants receiving payments from B2B products

  • Claremont McKenna College
    • Claremont, California, United States
    • Murty Sunak Quantitative and Computing Lab Mentor
      • Jan 2019 - May 2019
      • Claremont, California, United States

      • Facilitated active learning and reinforced students’ understanding of subject-specific course material and study skills in group study sessions and 1-on-1 tutoring sessions• Coordinated one-on-one tutoring sessions with college students in subjects such as calculus, linear algebra, C/C++, Java, Python, and statistics

  • Harvey Mudd College
    • Claremont, California, United States
    • Teacher’s Assistant and Grader
      • Aug 2017 - May 2019
      • Claremont, California, United States

      • Graded weekly homework assignments for a python programming class of 300+ undergraduate students• Organized weekly group study sessions and 1-on-1 tutoring sessions to provide guidance to students on course material

Education

  • 2021 - 2022
    Columbia University in the City of New York
    Master of Science - MS, Financial Engineering
  • 2019 - 2021
    Columbia University in the City of New York
    Bachelor of Science - BS, Computer Science
  • 2016 - 2021
    Claremont McKenna College
    Bachelor of Arts - BA, Economics and Engineering

Suggested Services

This profile is unclaimed. These are suggested service rates with 0% commision upon successful connection

Industry Focus. “Investment Banking”

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