Analyst - Asset Liability Management
GM Financial, Arlington, TX, United States
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
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)
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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
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)
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