Nan Fung Group | Investment Data Analyst

2 days ago


hong kong, Hong Kong SAR China Nan Fung Group Full time

Nan Fung Trinity (HK) Limited (“NF Trinity”) is the financial investment arm of Nan Fung Group (“Group”), focusing on multiple asset classes including public securities, structured products, private direct investments and private fund of funds. NF Trinity manages assets for the Group and third party institutional and professional investors. It is licensed by the Hong Kong Securities and Futures Commission to carry out Type 1 (Dealing in Securities), Type 4 (Advising on Securities) and Type 9 (Asset Management) regulated activities.

We now invite applications for the following position:

Investment Data Analyst

Responsibilities

  • Work with investment analysts to identify internal or external data sources/datasets relevant to meeting specific objectives.
  • Work closely with data engineers to structure web scraping projects and produce highly calibrated signals that are relevant for investment.
  • Conduct exploratory data analysis (EDA) to identify patterns, trends, and discover insights that support investment theses.
  • Prepare datasets for analysis based on the original data.
  • Implement appropriate solutions (e.g., dashboards, statistical models) to address the objectives.
  • Maintain an inventory of the data estate to ensure data-related requirements are captured and delivered.

Requirements

  • 4+ years of experience as a data analyst, with prior experience in major e-commerce, telecommunications, and social media technology companies. The candidate will be highly comfortable performing analytics on massive databases.
  • Candidates with significant experience utilizing web-scraped data are highly preferable.
  • 4+ years of experience using Python and Jupyter Notebook, SQL and NoSQL databases, and Tableau.
  • Knowledge of research frameworks (R, SciKit, PySpark) is required.
  • Working knowledge in Microsoft Excel.
  • Advanced knowledge in probability and statistics is required.
  • Bachelor of Science degree in Mathematics, Data Science, Computer Science, Physics, or Engineering.

We provide market-competitive packages and fringe benefits to our staff to ensure they are well-rewarded to excel in their career.

We are an equal opportunity employer. All applications will be treated in strict confidence and only be used for selection purposes.

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