Intern - GALCO

Define your future at Hong Leong Bank

Overview:

The Balance Sheet Risk Management (BSRM) team is seeking an Intern to support quantitative risk analytics and reporting. The role focuses on designing interactive dashboards (Power BI, Tableau, Excel) and automating data pipelines to visualize key IRRBB metrics-such as EVE and NII sensitivity-for ALCO reporting. Candidates should hold or be pursuing a quantitative degree, with proficiency in data visualization, advanced Excel, and ideally SQL or Python

Responsibilities:

• Assist in designing, building, and maintaining interactive, user-friendly dashboards (e.g., Power BI, Tableau, Excel/VBA, or Python) to visualise key IRRBB metrics, including Economic Value of Equity (EVE) and Net Interest Income (NII) sensitivity
• Support the automation of data pipelines, ingestion, and reporting workflows from KRM system to streamline monthly, periodic, and ad-hoc risk reporting.
• Help generate executive-level summaries, visual analytics, and data packages to support management decision-making and Asset and Liability Committee (ALCO) presentations.

• Assist the team in collecting, processing, and analysing balance sheet data to evaluate risk exposures across earnings and economic value perspectives.
• Help perform impact analysis related to interest rate movements, yield curve shifts, liquidity gaps, and hedging activities across various financial products.

• Support senior risk managers by identifying and sourcing relevant data, performing customer/product data segmentation, and preparing structured datasets to feed into behavioral risk modeling (e.g., non-maturing deposits, loan prepayments).
• Help document system workflows, data dictionaries, and dashboard user guides to establish process consistency and documentation standard.

Skills & Experience We Are Looking For:

• Currently pursuing or recently completed a Bachelor's or Master's degree in Finance,
• Financial Engineering, Quantitative Finance, Risk Management, Data Analytics, Computer Science,
• Economics, Statistics, Actuarial Science, or a related quantitative field.

• Strong proficieny in data visualisation tools (e.g., Power BI, Tableau) is highly required.
• Proficiency in Advanced MS Excel (VBA/Macros preferred).
• Familiarity with SQL, Python, or R for data manipulation and scripting is a plus.

• Strong analytical, problem-solving, and data storytelling abilities with high attention to detail.
• Excellent communication skills with a proactive mindset and strong willingness to learn complex financial concepts.

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