伯克利实验室合作AI公司招聘金融、Data等方向实习生

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大数据&人工智能公司

招聘金融、Data、CS等方向留学生

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实习公司行业

一家利用大数据和人工智能生成及时和可操作的替代数据和洞察力的公司，包括定量金融和人工智能驱动的投资研究、ESG和可持续性、数字营销、数据驱动的用户体验／UI设计和数据分析。

核心团队和顾问包括数据科学家、来自不同行业的人工智能专家，以及隶属于劳伦斯伯克利国家实验室、斯坦福大学等的前定量投资组合经理和博士科学家。

此外核心团队在一些定量对冲基金、全球科技公司等的高级职位上拥有丰富的工作经验。

岗位描述

💡Data Analytics

Key Responsibilities:

· As a data analytics intern, you can build the skillset for leveraging data to solve real-world problems.

· Data analyst interns provide vital business support by extracting, mining,cleaning, and analyzing data.

· Build data-driven dashboards and visualizations that help draw insights and make decisions using data across the financial, digital marketing, sustainability and other fields.

· Develop hands-on data analysis and modeling experience, database management experience, and familiarity with basic programming languages such as SQL and Python.

· Apply various foecasting tools, including statistical and machine learning techniques.

Qualifications:

· Analytical skills; critical thinking skills; attention to detail

·Tableau, Power BI or other visualization packages

· Knowledge of Python and SQL

· Quantitative and qualitative skills

· Being able to analyze data, generate insights and identify trends

· Demonstrated interpersonal, verbal and written communication skills

💡Finance and Machine Learning

Key Responsibilities:

· Use statistical and machine-learning models to implement quantitative and systematic investment strategies, including long-only, long-short market neutral, global macro, trend following, event-driven, sector rotation, bottom-up fundamental, among others.

· Extract, filter and analyze financial, macroeconomic, earnings, credit and other data types and models which will be used as input for the investment models.

· Implement portfolio construction and optimization models such as Mean Variance, Risk Parity, Black-Litterman, among others.

· Back-test and evaluate the performance of different machine learning techniques and investment strategies. Perform paper-trading and real-time simulation of systematic strategies.

Qualifications:

· Machine Learning and Data Science

· Time series analysis

· Corporate Finance

· Ability to extract, filter and synchronize structured and unstructured data

· Matlab, R, or Python

· SQL or Hadoop

*更多Quant、Risk、ESG、开发等岗位可扫码咨询详情👇

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