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Protégé Program - Risk Transformation and Model Management

  • Full Time, onsite
  • Etiqa Insurance and Takaful
  • Wilayah Persekutuan Kuala Lumpur, Malaysia
Salary undisclosed

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Job Description

Model Risk Management:

  • Support the model inventory update, design and maintenance
  • Collaborate with relevant stakeholders to drive MRM initiatives

Fraud Risk Management:

  • Support fraud analytics project and data studies related to the project
  • Support the development of fraud risk management related automations using Python, SQL
  • Analyze fraud trends, conduct investigative research into losses, and analyze loss type data to determine fraud patterns.
  • Collaborate with relevant stakeholders to drive the Fraud Risk Management initiatives

Risk Transformation and Risk Digitalization:

  • Highlighting risk and impact via data analysis, recommending action plans and solutions
  • Use of analytical and visualization software to access, transform, integrate, analyze and visualize data to help solve real problems and provide real business insights through identification of anomalies and unusual patterns and trends in data
  • Support innovation projects and use programming tools to automate manual tasks for efficiency and cost savings for Risk Management division and other teams
  • Support for Risk Landscape exercise
  • Any other Ad Hoc items

Job Requirement

  • Education background: Actuarial science/Statistics/Data Science
  • Coding knowledge (Languages commonly used in our team: SQL, SAS, R, Python)
  • Basic knowledge of Excel VBA
  • Actuarial/Data Science/Statistics degree
  • Strong analytical skills
  • Proficiency in Computer software – MS Office and MS Excel

Job Description

Model Risk Management:

  • Support the model inventory update, design and maintenance
  • Collaborate with relevant stakeholders to drive MRM initiatives

Fraud Risk Management:

  • Support fraud analytics project and data studies related to the project
  • Support the development of fraud risk management related automations using Python, SQL
  • Analyze fraud trends, conduct investigative research into losses, and analyze loss type data to determine fraud patterns.
  • Collaborate with relevant stakeholders to drive the Fraud Risk Management initiatives

Risk Transformation and Risk Digitalization:

  • Highlighting risk and impact via data analysis, recommending action plans and solutions
  • Use of analytical and visualization software to access, transform, integrate, analyze and visualize data to help solve real problems and provide real business insights through identification of anomalies and unusual patterns and trends in data
  • Support innovation projects and use programming tools to automate manual tasks for efficiency and cost savings for Risk Management division and other teams
  • Support for Risk Landscape exercise
  • Any other Ad Hoc items

Job Requirement

  • Education background: Actuarial science/Statistics/Data Science
  • Coding knowledge (Languages commonly used in our team: SQL, SAS, R, Python)
  • Basic knowledge of Excel VBA
  • Actuarial/Data Science/Statistics degree
  • Strong analytical skills
  • Proficiency in Computer software – MS Office and MS Excel