Manager/ Assistant Vice President - Corporate Treasury

You will be part of the Corporate Treasury team within the Group Finance Division, with a primary focus on Collateral and Liquidity Management, and also support investment management and strategy within the broader scope of asset-liability management (ALM).

 • Collateral and Liquidity Management

• Monitor the eligibility and usage of collateral posted and received for transactions such as derivative trading, repo/reverse repo, securities lending to ensure regulatory and risk compliance.
• Support any collateral transformation or optimization initiatives.
• Explore and evaluate solutions to enhance yield on surplus cash / assets.
• Manage the deliverables from external Collateral Management service providers.
• Work with custodian banks, asset managers and inter/intra companies to establish any processes regarding transactions involving collaterals.
• Monitor and benchmark performances of securities lending program.
• Validate fund requests from operational cash management team and arrange funding.

 • Investment Strategy & Portfolio Management

• Support the team to manage and monitor Corporate Treasury sub-portfolios and segregated funds, ensuring alignment with strategic objectives.
• Conduct macroeconomic and market analysis to inform investment decisions and recommend tactical positioning.
• Support execution of investment strategies.

Performance & Risk Analysis

• Analyze key financial risks including Interest Rate, Credit, Equity, and FX risk, and assess their impact on investment portfolios.

Strategic Asset Allocation (SAA) Coordination

• Evaluate asset classes and expected returns to support SAA formulation and review.
• Support analysis about long-term investment strategy and asset mix.

• Bachelor’s degree in Banking and Finance, Economics, Accounting, Risk Analytics or a related field.

• At least 5 years of work experience, preferably in transaction banking, investment management, financial analysis, or risk management.

• Strong analytical skills with a good understanding of money markets instruments, collateral management.

• Familiarity with programming tools (e.g., Python) is a plus for data analysis and automation.