Assistant Vice President, Non-Traded Risk

MAYBANK SINGAPORE LIMITED
Singapore
SGD 100,000 - 125,000
Job description

Role Overview:

We are seeking a motivated experienced analyst to join our Non-Traded Risk team at Maybank Singapore. This role primarily focuses on individual contributions while also providing guidance and coaching to junior analysts on analytical techniques and methodologies. You will play a key role in measuring and monitoring liquidity risk, ensuring effective balance sheet management, and driving analytical practices within the organization.

Key Responsibilities:

BAU Reporting:

  • Collaborate with the Head of Non-Traded Risk and management to assess and monitor liquidity risk for Maybank Singapore's subsidiary and branch.
  • Ensure the accurate and timely production of key management and regulatory reports.
  • Oversee daily monitoring of liquidity triggers and limits.

Analytics:

  • Provide analytical support to inform country management on strategies for optimizing a resilient balance sheet.
  • Partner with the Head Office modeling team to enhance existing balance sheet risk models and methodologies, integrating quantitative insights into current assumptions.
  • Contribute to the development and improvement of analytical practices within Balance Sheet Management.

Systems Support and Projects:

  • Utilize the bank’s Asset Liability Management (ALM) software for reporting and analytics.
  • Engage in projects aimed at upgrading and enhancing the ALM software from an end-user perspective.
  • Participate in risk management initiatives and other relevant projects as needed.

Qualifications:

  • Over 5 years of experience in Asset Liability Management (ALM) or Corporate Treasury roles.
  • Strong understanding of NSFR, LCR, and liquidity risk methodologies and practices.
  • Familiarity with a diverse range of banking products, including retail, commercial, and Treasury offerings.
  • Experience with ALM software and adeptness in querying data from data warehouses and data marts.
  • Proficiency in SQL and/or SAS is required; familiarity with Python coding is a plus.
  • A collaborative team player with excellent communication skills, capable of conveying complex technical and quantitative concepts to business stakeholders, IT, and senior management.

* Please note that only shortlisted Candidates will be notified.

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