Data engineer (Risk Analytics Architecture)



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Job Summary

Job Type


Years of Experience
Information not provided

Tech Stacks
Python C# Scala SQL Java R Analytics C++

Job Description

Job Descriptions

  • Analyze and formulate business problems into practical analytics solutions
  • Manage to have all necessary data available timely
  • Design model validation and model maintenance based on Analytics Modeling Process Framework
  • Develop analytics models and solutions by using predictive analytics, statistics, optimization, machine learning, optimal sampling, experimental design and/or other techniques
  • Research on new cutting-edge technology & techniques in Deep Machine Learning, Artificial Intelligence, Reinforcement Learning or related technical fields
  • Work closely with business teams and IT solution architecture team to ensure delivering practical analytics solutions on time
  • Deliver clear and actionable recommendations to all stakeholder


  • Master Degree or Above in quantitative fields such as Data Science/Analytics, AI, Engineering, Operations Research, Computer Science/Engineering, Statistics, Mathematics, or related fields.
  • Experienced in Analytics Model coding using Python / R / SQL / Scala / Java / C# / C++
  • Work experience in related fields 3+ years 
  • Sound Knowledge in Data Science and Analytics models (Machine Learning, Statistics, Optimization, etc.)
  • Demonstrate a keen interest in working with big data platform
  • Positive attitude and Team-working mindset
  • Understanding in banking/financial business would be advantage

Remark: This position requires a criminal record information check prior consideration for employment to ensure safety and maintain standards of the organization.

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