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职位：Quantitative Researcher - Experienced Hire

行业分类：Hedge fund

公司规模：1,600

工作地点：New York, New York, United States

职位要求：

• Degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science (all levels welcome, from bachelor’s to doctorate)

• Intermediate skills in at least one programming language  (like C, C++, Java, or Python)

• Experience performing an in-depth research project, examining real-world data

• Ability to think independently and creatively approach data analysis and communicate complex ideas clearly

职位：Quantitative User Experience Researcher, Early Career 2024

行业分类：Artificial intelligence, Advertising, Cloud computing, Computer software, Computer hardware, Internet

公司规模：139,995

工作地点：Sunnyvale, CA, USA

职位要求：

• Bachelor’s degree in Human-Computer Interaction, Human Factors, Psychology, Computer Science, Cognitive Science, Information Science, Statistics, a related field, or equivalent practical experience.
  

• Experience with quantitative research design utilizing various methods (e.g., descriptive statistics, multivariate data visualization, multivariate regression, bootstrap methods, logs analytics, and text analytics).
  

• Experience in Stata, C++, R, or Python.

职位：Quantitative Analyst

行业分类：Hedge fund

公司规模：1,800+

工作地点：New York

职位要求：

• strong academic background in a quantitative field (mathematics, physics, engineering, etc) – Post-Graduate degree required

• excellent understanding of quantitative finance, modelling and derivative pricing techniques along with practical experience

• high level understanding of financial products and markets, especially equity derivatives

• ability to communicate complex ideas in a fluent and articulate manner

• proficiency in C++ programming and an ability to develop within a well-established codebase – knowledge of Python an advantage

• experience with the models used for valuation and risk management of exotics products is strongly preferred

• knowledge of automatic volatility fitting topics is an advantage

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