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techcombank (tcb)

Expert, Operational Risk Management

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  • Posted 15 hours ago
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Job Description

Job Purpose

  • General: Responsible for leveraging internal and external data to provide insights and information related to big data, machine learning, optimization methods, and statistical rule/model building which supports a facts-based decision making process to operational risk management strategies và policies.
  • Specialization: Responsible for portfolio/risk types that being assigned to manage.

Key Accountabilities (1)
  • Analyze data to identify potential risks, track controls/ mitigations effectiveness, assess risks, monitor risks, investigate root cause of risk events and establish additional controls.
  • Algorithm and qualitative model: Measure risks and automate risk response decision through both statistic and expert adjustment, Qualitative scorecard to assess risk.
  • Build and monitor bank wide operational risk limits, allocate operational risk limits according to the Bank's key business areas and operational risk subtypes.
  • Develop data analytics report and dashboard through data visualization.

Key Accountabilities (2)
  • Manage and control operational risk status of the bank operational risk portfolio; build and maintain data information system for an effective operational risk management
  • Calculate operational risks according to Basel II, national legislation and internal models.
  • Perform other related tasks at the request of the Director of Operational Risk Management, Senior manager of Data analytics and Portfolio Management

Key Relationships - Internal Stakeholders
Business Units/Supporting Units/Internal Auditing/Units with unit control function in the bank

Key Relationships - External Stakeholders
Inspectors/External Audit

Success Profile - Qualification and Experiences
Experience

  • At least 6 years of relevant work experience and at least 02 years of people management experience.
  • Having in-depth knowledge and experience in banking operations and operational risk management.
  • Quantitative and analytical skills in risk modeling
  • Experience with other programming and data manipulation languages (SAS/SQL, C/C++, Java, big data tools...) and other systems rules engine experience
  • Proficiency with stastistical programs such as R or Python is an advantage.

Qualifications

  • Having a university degree or higher in relevant economic/ data analysis/ statistic
  • TOEIC: 550-649

More Info

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About Company

Job ID: 149031433

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