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.

Join Us: If you are passionate about risk analytics and have a desire to make a significant impact in a dynamic banking environment, we invite you to apply and become part of our dedicated team at Maybank Singapore.

Job Responsibilities

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.

Job Skills

1)Asset-liability-Management

2)NSFR

3)Liquidity-Risk

4)Python

5)SQL

6)SAS

7)Communication

Job Requirements

- 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.