CIMB Bank Vietnam

Tóm tắt công việc

The role of the Risk Management division is to continuously anticipate the changing risk profiles of the bank and to take the necessary measures to manage those risks in order to support the business to growth profitably.

The job holder is responsible for data governance, assisting in developing models, assisting in analysis and automating reports based on guidance of supervisor.

1. Data Governance
   1. Assisting team leader to prepare material for Data Governance Committee
   2. Manage data governance activities such as Labeling, Domain Deployment, Data Quality Managenent etc.
2. Model Management. Assist the following based on guidance of supervisor:
   1. Extract and transform data for model development
   2. Utilise both traditional (such as regression/OR) and advanced (such as AI/Machine Learning) methodologu to develop models
   3. Develop models for different purposes such as credit risk, fraud risk, pricing, propensity etc.
3. Credit Policy/Underwriting & Portfolio Analytics. Assist the following based on guidance of supervisor:
   1. Extract and transform data for analytics
   2. Undertake analytics to determine policy effectiveness and efficiency including credit risk, fraud risk, KYC and AML policy
4. Cross sell campaing.  Assist the following based on guidance of supervisor:
   1. Utilise risk, propensity models and policy to select customers for cross sell campaign
5. Automation of reporting. Undertake the following based on guidance of supervisor:
   1. Extract and transform data for reporting
   2. Utilise MIS tool to automate reporting
6. Prepare presentation to senior management.  Undertake the following based on guidance of supervisor:
   1. Summarise analytic result in simple and business terms for ease of understanding
   2. Transform analytic result in to powerpoint

• 13th month salary
• Year-end bonus based on performance rating
• Professional working environment
• Private insurance (Generali) for staff (included spouse and children)
• 15-18 Annual leave per year

University degree/master in Statistics, Operations Research, Data Science, Computer Science, Mathematics, Engineering

• >= 4 years in a bank or a financial institution in data management
• > 2 years in utilising statistical analysis and recommending policies
• > 2 years in MIS/dashboard development
• > 2 years in Python, R and/or SAS or equivalent
• > 2 years in SQL, Hive, or any data querrying application

Technical/Functional skills

• Datalake/warehouse such as Hadoop/Hive
• Analytic tools such as Python, R and/or SAS or equivalent
• Business Intellegence tools such as QlikSense, Tableau. SQL
• Consumer banking, risk, marketing background
• Excel, Word, Powerpoint

Personal skills (Soft Competencies [Core/Leadership])

• Stakeholder management
• Project management skills

Presentation and Communication Skills