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Data Scientist

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Data Scientist

Selby Jennings
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Job Highlights

  • Collaborate closely with investment teams
  • Candidates should have an intellectual curiosity
  • In-depth SQL Knowledge
Data Scientist - Leading Global Hedgefund

Embark on a transformative career path with a prestigious buyside on their Data Science Team based in Hong Kong. As part of their Data Scientist team, within their renowned Equities division, you will leverage cutting-edge technology and analytical methods to drive insightful investment decisions.

Key Responsibilities:

  • Collaborate closely with investment teams to enhance their research processes through data-driven insights.
  • Analyse multifaceted datasets to validate complex investment hypotheses promptly and effectively.
  • Synthesise large volumes of data into actionable information for strategic decision-making across various sectors and companies.

About You - Background Requirements:

  • Candidates should have an intellectual curiosity about investments complemented by a proactive approach towards solving challenging questions using innovative solutions. A professional demeanour combined with robust organisational skills is essential.

Necessary Skills Include:

  • Pandas & Python Proficiency : Advanced capabilities are required not only in general programming but also specifically in statistical packages like Pandas.
  • In-depth SQL Knowledge : Essential for managing extensive databases efficiently.
  • This position offers exposure to groundbreaking methodologies at one of the leading firms globally known for its excellence in equity trading strategies.
Desired Skills and Experience

Pandas & Python Proficiency : Advanced capabilities are required not only in general programming but also specifically in statistical packages like Pandas.
In-depth SQL Knowledge : Essential for managing extensive databases efficiently.

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More Information

SalaryN/A (Search your salary info in SalaryCheck)
Job Function
Location
  • Hong Kong > Others
Work Model
  • On-site / At the workplace
Industry
Employment Term
  • Full-time
Experience
  • N/A
Career Level
  • Middle management level
Education
  • N/A