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Job Benefit

  • Insurance
  • Travel opportunities
  • Incentive bonus
  • Health checkup
  • Training & Development
  • Salary review

Job Description

• Cooperate actively with model providers to develop, implement, test and validate the Credit Scoring Models, include Application Scoring System, Behavior Scoring System, Collection Scoring System, Propensity Scoring System...
• Apply the results of all Credit Scoring Systems to all matter of the business, if possible, to the entire consumer credit life cycle, including underwriting, x-sales and topup, debt collections, etc.
• Continuously analyze the effectiveness of models to optimize the application of all of the scoring systems to enhance credit portfolio quality and keep portfolio heathy and sustainable.
• Responsible for developing regulations, processes, policies, guidelines related to the development/implementation/review of risk measurement models
• Perform quality control of input data of the model; Building and upgrading databases, tools and systems for credit risk measurement
• Participating in building database infrastructure for risk management for personal credit portfolio.
• Advise BOD in risk prevention based on the analysis of the effectiveness of the models and propose the application/adjustment/improvement of the risk measurement models (if necessary).
• Training team member.
• Perform other tasks as required by Head of Risk.

Job Requirement

Qualification & Experience
• University Degree of Banking, Finance, Statistics, Mathematics, or related area. Master degree is perferable.
• Min 5 years of experience of risk management practices within the Vietnam banking / consumer finance industry and familiarity with credit risk exposure calculation methodologies & tools would be desirable but not essential.
• 5+ years of Quantitative Analytics experience in the Financial Services industry or banking, fintech.
• 3+ years of Credit Risk model development experience
• Experience working with Machine Learning, data science background techniques and building Models

Knowledge & Skills
• Good knowledge and experience in business statistics, preferaly, consumer finance industry.
• Experience in Data Profiling and Data Cleansing.
• Working knowledge of ETL technologies and associated implementation methodologies.
• Proficient in use of Excel and good knowledge about statistics programs (Python, SAS, Answer Tree, R Statistics,).
• Strong SQL skills to support analysis of data.
• Excellent interpersonal skills in dealing with key stakeholders.
• A track record of delivering to aggressive deadlines.
• Highly self-motivated.
• Enthusiastic in detail of data and numbers
• Fluent in English, both verbal and written
• Experience in Data Profiling and Data Cleansing - Experience in Data Profiling and Data Cleansing, Exploratory, Inferential Statistics, Modelling & Prediction.

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