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A leading financial services company in Monterrey is seeking an Entry Level Financial Analyst to join their ALM team. You will maintain key forecasting and ALM models, collaborate with cross-functional teams, and provide analysis on financial data. Candidates should hold a bachelor's degree in a relevant field and have a foundational understanding of financial analysis and risk assessment. This full-time role offers a dynamic environment with opportunities for growth.
Job DescriptionAs 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.
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.
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).
Seniority level: Entry level. Employment type: Full-time. Job function: Finance and Sales.