Analyst - Asset Liability Management

Job Description

As a Financial Analyst on our ALM team, you will play a critical role in shaping balance sheet strategy and risk management across international markets. You will be the go-to expert for maintaining and enhancing our Forecasting & ALM model, partnering with in-country FP&A and Treasury teams to deliver insights that drive smarter decisions and stronger financial outcomes.

Responsibilities

• Own and maintain the gold-source Forecasting & ALM models for assigned country/countries, ensuring accuracy and consistency across reporting cycles
• Lead input gathering, output validation, and model updates in collaboration with in-country FP&A and Treasury teams
• Collaborate with the Treasury team to forecast funding assumptions and assess their impact on ALM and interest rate risk metrics
• Provide in-depth analysis to support the Asset Liability Committee (ALCO) reporting of interest rate and liquidity risks
• Analyze budget variances and communicate key trends and performance drivers
• Build scalable, repeatable models and processes that reduce manual effort and improve data integrity
• Identify opportunities to automate processes and enhance business outcomes
• Collaborate cross-functionally to align assumptions and challenge inputs constructively
  
  

Qualifications

• Bachelor’s degree in Finance, Economics, Statistics, or related field (or equivalent work experience) is required.
• 1–3 years in asset liability management, financial analysis, or treasury.
• Advanced proficiency in Excel, including modeling, scenario analysis, and automation techniques
• Strong understanding of financial concepts such as Duration, NII, EVE sensitivity and other balance sheet immunization strategies
• Experience with forecasting, variance analysis, and risk assessment
• Familiarity with SAS for financial modeling
• Proficiency in Access and SQL or similar query tools, along with strong skills in Microsoft Office suite
• Demonstrated ability to identify and automate repetitive tasks and improve processes
• Strong communication skills, with the ability to translate complex financial data into clear insights
• Comfortable working across culturally diverse teams and adapting to varied stakeholder needs
• Preferred Qualifications
• Experience with Power BI or other data visualization tools
• Familiarity with Python or R for financial modeling or automation
• Progress toward CFA, MBA, or Master’s degree in a relevant field
• 0–2 years programming in SAS, Python, or R (preferred)