Analyst - Asset Liability Management

Job Description

¿Por qué GM Financial?

GM Financial es la subsidiaria financiera cautiva, de propiedad total, de General Motors y tiene su sede en Fort Worth, Estados Unidos. Somos un proveedor global de soluciones de financiamiento automotriz, con operaciones en América del Norte, América del Sur y la región de Asia-Pacífico. A través de nuestras relaciones de larga trayectoria con concesionarios de automóviles, ofrecemos atractivas opciones de financiamiento minorista y programas de leasing para atender las necesidades específicas de cada cliente. También ofrecemos productos de crédito comercial a concesionarios para ayudarlos a financiar y hacer crecer sus negocios.

En GM Financial, los miembros de nuestro equipo definen y dan forma a nuestra cultura: un entorno que da la bienvenida a nuevas ideas, fomenta la integridad y crea un sentido de comunidad y pertenencia. Aquí hacemos más que trabajar: prosperamos.

Nuestro propósito: Impulsamos las innovaciones que mueven y conectan a las personas con lo que importa.

This position will be posted until filled.

Responsibilities

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.

In This Role You Will

• 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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