關於 Point72
Point72 是由Steven A. Cohen領導的全球頂尖投資公司。擁有逾三十年的投資經驗，
徵才說明會資訊
- 時間：2025/11/25（二）18:15 - 19:00 （17:45 開放入場報到）
- 地點：臺大資工系館（德田館）102 階梯教室
職務資訊與要求 - 量化研究員
IAC團隊專注於開發和實施多空股票投資策略，
工作職務包含：完整的量化研究專案管理，涵蓋資料探索、
- 金融、資訊工程、數學，或其他量化領域的學士、碩士、
博士級學歷。 - 擁有優秀的分析與量化技能，有量化股票投資經驗尤佳。
- 在驗證投資假設時擁有良好的經濟直覺。
- 擁有良好的回歸模型基礎（linear, ridge, logit等）。
- 熟悉基本數據（預估值、實際值）以及數據庫（
如Compustat, ibes）。 - 熟悉多因子模型（如Barra, Axioma等）。
- 具備優秀的Python程式語言能力，
尤其擅長處理數據與回歸模型。 - 熟悉SQL和版本控制系統（如Git）。
- 遵守最高道德標準
- 具備英文能力。
職務資訊與要求 - 量化研究員實習生
量化研究員（實習生）將被賦予獨立進行量化研究的職責，
- 數學、物理、資訊、工程，或其他量化財務領域的大四、
碩博班在學生。 - 具備以下任一程式語言的撰寫能力：C++, C#, Java, or Python.
- 具備優秀的分析與量化能力，
並對量化研究及指標驅動的決策充滿熱忱。 - 能展現在大型數據上進行獨立研究的能力。
- 具備探索資料中趨勢的熱情。
- 願意為自己的工作成果負責，並能獨立或在小型團隊內工作。
- 仔細、細心、具抗壓性。
- 具備英文能力。
[Point72 Campus Recruitment Event Announcement]
Point72 Taipei office is looking for talented candidates with background in EE/CS, Physics, Math, Financial Engineering, or Economics to join our Cubist research team.
We will hold a recruiting presentation on Tuesday, November 25, 2025, from 6:15 PM to 7:00 PM, at CSIE NTU. During this event, researchers from Taipei office will share their experience and day-to-day activities while working with colleagues around the world. You will also have the opportunity to interact with our teammates and explore how your background can be applied to the world of quantitative finance. Don’t miss this excellent opportunity to open a new chapter in your career!
Event Detail:
- Date & Time: 2025/11/25 (Tuesday), 18:15 – 19:00 (Registration starts from 17:45)
- Location: Der Tian Hall, Room 102, Department of Computer Science and Information Engineering, National Taiwan University
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
JOB DESCRIPTION: Quantitative Researcher
What You’ll do
The Internal Alpha Capture (IAC) team is focused on developing and implementing scalable long/short equity investment strategies that leverage insights from discretionary portfolio managers and analysts, using sophisticated risk management, portfolio construction and execution techniques.
This is an opportunity for students and researchers in quantitative finance, behavioral finance, and statistics to apply these techniques to solve niche practical investment challenges specific to a platform of equity portfolio managers.
End-to-end quantitative research project management including data exploration, cleaning and management, research hypothesis testing based on economic rationale, statistical/regression modeling, realistic simulation analysis, and presentation of results to the broader group.
What’s Required
- Undergraduate, Masters, or PhD candidates or higher in finance, computer science, mathematics, or other quantitative discipline.
- Strong analytical and quantitative skills, particularly related to quantitative equity investing.
- Sound economic intuition when it comes to validating investment hypotheses.
- Solid regression modeling foundations (linear, ridge, logit, etc.)
- Familiarity with fundamental data (estimates, actuals) and databases (compustat, ibes)
- Familiarity with commercial factor models (Barra, Axioma, etc.)
- Strong python skills, particularly in data manipulation and regression modeling.
- Familiarity with SQL and version control (GIT).
- Commitment to the highest ethical standards.
JOB DESCRIPTION: Quantitative Researcher Interns
Role
Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
Requirements
- B.S., M.S. or Ph.D. degree in computer science, mathematics, physics, or other quantitative discipline.
- Programming in any of the following: C++, C#, Java, or Python.
- Keen interest in quantitative research and metrics driven decision making.
- Demonstrable ability to conduct independent research utilizing large data sets.
- Passion for spotting trends in data.
- Willingness to take ownership of his/her work, working both independently and within a small team.
- Detail-oriented, ability to work under pressure.
- Some proficiency in English.