Intern - Quantitative Analyst / Data Engineer

Gamma Paradigm 高曼計量

Gamma Paradigm 高曼計量 work environment photoGamma Paradigm 高曼計量 work environment photoGamma Paradigm 高曼計量 work environment photo

Job Description

The quantitative analysis/data engineering intern will focus on our financial data science, quantitative finance, and investment operation. Candidates should be highly motivated and excel in a collaborative multi-faceted research-oriented environment. The primary responsibilities of the position are supporting

  • Financial Data Science
    • Financial Data ETL
    • Financial Data API / Scripting
    • Serverless Data Environment
  • Implementing Investment Strategies
    • Academic paper reviews and replications
    • Coding in a Python-based Linux environment for performing quantitative analysis
  • Writing professional back-test reports
    • Original work on model/strategy enhancement


Ph.D., MS or BS in CS, Math, Physics, Quantitative Finance, Operations Research, or another Science discipline. Candidates should have good English communication skills, a good understand of financial markets, good programming skills in Python, and experiences in developing statistical models in a UNIX or LINUX environment. Experience in cloud computing and big-data analytics is a plus.


158 ~ 300 TWD/hour

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Gamma Paradigm 高曼計量


About us

Founded in 2013, Gamma Paradigm is a quantitatively-driven asset management company operating in New York with a FinTech arm in Taiwan.

Led by ex-Tiger Management Director of Quantitative Strategists and Johns Hopkins University faculty, we establish a systematic and transparent investing paradigm. We seek to provide a portfolio-level “Greek” gamma that turns market volatility into long-term growth in your investment.

A triangle of experience, integrity, and knowledge is our key to successful investing.

• 金融數據科技開發以財務工程為核心,整合隨機市場模型、投資組合理論、大數據分析、以及計量演算法,開發智能資產管理模型與系統。並且著重在行動平台與雲端運算的整合,提供完整的商業化服務。
• 金融科技管理顧問服務以高曼團隊在量化資產管理的專業為基礎,協助金融機構規劃新金融產品的設計以及創新金融系統的評估與管理。同時整合帶領台美的產官學研資源連結台灣金融科技生態圈。


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