Canopy
Qupital (HK)

Qupital - Data Scientist

Entry Level
Hong Kong
Data Scientist
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About Us

Qupital - Hong Kong's leading trade finance platform. The company was founded to help companies from a range of industries with account receivables to secure advances on their invoices by connecting them with funders keen to invest in a new asset class, providing a solution for unpaid invoices.

Who we're looking for

Are you interested in fintech and want to learn more about trade financing? Qupital is looking for a passionate Data Scientist to join our team.

What you will be doing in this role
  • Build and apply data analysis algorithms (data mining, machine learning, natural language processing, sentiment analysis, text mining, etc.) to analyze large amounts of data
  • Perform statistical analyses and provide insightful comments for business questions from senior management
  • Explain the model strengths and weaknesses to both technical and business stakeholders
  • Develop and maintain strong effective working relationships with key management personnel and internal client base including data engineers, BA’s and directly with the services/businesses
  • Candidates with experience in credit risk modelling / insurance / trade finance will be an advantage
Who you are
  • A bachelor degree or above in Statistics, Computer Science, Data Science or related disciplines
  • At least 2 years’ experience in data analytics/data science role
  • Big data, machine learning and AI techniques using one or combination of TesorFlow, Theano, Torch and Keras
  • Strong computational background with experience in R/Python/Java/C++ and other data and code manipulation methodologies
  • Experience in Oracle databases and NoSQL databases
  • Excellent communications and stakeholder management skills, written and verbal English
  • Overseas candidates are welcomed

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