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Data Scientist

On-site in Hong Kong·Added today (last checked 22 Oct)

Overview

Skills

The role

Role

Our client is very passionate about data. They collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

This exceptional individual will be a member of a small team of Data Scientists/Analysts who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.

Responsibilities
  • Identifying potential data sources
  • Coordinate with compliance team and legal team on new vendor trial/subscription process
  • Assist with collecting and maintaining overviews and vendor content offering
  • Assist with data questions and requests from investment teams
  • Setting up feed download and monitor check in database
  • Monitoring the automated data collection and cleansing infrastructure
  • Coordinating meetings and conference calls between data users and experts.
  • Assist in organizing presentations
  • Handle user requests and answer questions about data
  • Download trial datasets from vendor FTP sites or other delivery mechanism
  • Assist Data Team with manual data processing as required
  • Maintain Cubist Data Wiki contents
Requirements
  • Basic level programming experience in R, Matlab, Python, SQL, Java or another language
  • Financial industry experience preferred but not required
  • Strong organization, communication and interpersonal skills
  • Attention to detail and a love of process
  • Strong oral and written communication skills
  • Ability to exercise sound judgment in assessing and determining how to handle queries, calls and issues
  • Ability to multitask and prioritize assignments
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