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Avatar of 柯智允.
柯智允
Quantitative Research Analyst
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柯智允

Quantitative Research Analyst
No intro yet.
Adaptive Investment Solutions
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Boston University
美國

Professional Background

  • Current status
    Studying
    ・
    Ready to interview
  • Profession
    Analyst
  • Fields
    Investment Management
  • Work experience
    1-2 years (Less than 1 year relevant)
  • Management
    None
  • Skills
    Python
    Matlab
    C++
    SQL
    R
  • Languages
    English
    ・
    Fluent
    Chinese
    ・
    Native or Bilingual
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Full-time
    ・
    Interested in working remotely
  • Desired positions
    Data Scientist/Quantitative Researchers & Traders
  • Desired work locations
  • Freelance
    Non-freelancer

Work Experience

Quantitative Research Analyst (Part time)

Adaptive Investment Solutions
・
Part-time
Sep 2023 - Present
Boston, MA, USA
• Developed algorithms for the fair valuation of structured products and options (Python) • Implemented advanced risk assessment methods to enhance further downside protection
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Assistant Engineer (Summer Intern)

MediaTek 聯發科技
・
Internship
Jul 2023 - Aug 2023
・
2 mos
Hsinchu, Hsinchu City, Taiwan
• Collaborated on the prediction of minimum voltage thresholds for multiple IC chips across diverse conditions • Constructed predictive models to identify feature points within both high and low-temperature scenarios • Conducted rigorous testing of various models to enhance prediction accuracy

Market Analyst Intern

Vici Holdings
・
Internship
Aug 2021 - Sep 2021
・
2 mos
Taipei City, Taiwan
• Researched the trading system and regulations of Hong Kong Exchange (HKEX) • Parsed and organized raw trading messages sent from HKEX (Python) • Analyzed various message types/patterns with Python

Education

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Boston University

Master of Science (MS)
・
Mathematical Finance & Financial Technology
2022 - 2024
・
3.64/4 GPA
Description
Fall 22 courses: Statistics, Programming (R, Python, C++), Stochastic Calculus, Finance • Spring 23 courses: Fixed Income, Computational Methods, Algo and HF trading, Financial Econometrics • Fall 23 courses: Deep learning and statistical learning, Corporate risk mgt., Economics of fintech, Credit risk
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國立陽明交通大學

Bachelor of Science (BS)
・
Applied Mathematics, Minor in Financial Engineering
2016 - 2021
Description
Selected courses: Futures and Options, Financial Risk Management, Investments, Financial Econometrics