Senior Data Scientist - Underwriting
Home Credit
hace 5 días


  • Get to the business : First 2 months Understand offline / online process in UW Master the product specifics and lifecycle Get to know the logic of limit calculation for CC and CLX Understand systems / IT environment Get to know data structures
  • Modeling and Analysis : Statistical modeling, business impact simulations and data mining Developing On the fly approach towards (re)estimation of scorecards Automation of individual SC development phases Optimization of UW process in terms of approval rate, risk, eligibility, limits and time to yes Cost benefit analysis of new acquired data (is it worth to use them, how?
  • Flawless analysis of complex underwriting workflows

  • Infrastructure development : Develop technical solution in Blaze, SQL packages and DWH structures to accommodate new business requirements Implementation of Tableau, cloud / hadoop solutions to support analysis
  • Contact : Mr. Tri Dong

    Email : tri.dl

    Phone : +84 28 3513 6868 - Ext : 15516


  • Language : Proficiency in English Ability to formulate, explain and discuss topics connected to business area
  • Experience : Strong SQL knowledge, Excel Experience with statistical software (Python, SAS, SPSS, Matlab, R, Statistica, ), analysis and modelling Risk background University degree from quantitative discipline, preferably from statistics, mathematics, economy People management
  • Personal characteristics : Analytically strong Strong in delivery Responsible Keen to learn Independent
  • Experience : Other programming languages as Java, VB, .net Preferably job in financial sector Project management
  • Personal characteristics : Communicative

  • 13th Salary Fixed and KPI Bonus
  • PVI Health Care
  • 24 / 7 Accidental Insurance
  • 100% Social Insurance Pay
  • Meal + Phone Allowance
  • Yearly Medical Checkup
  • 15 Annual Leaves
  • Professional and Transparent Working Environment.
  • Apply Latest Financial Technology in the World

  • Specialist / TL / Sup
  • Office Hour
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