Financial Control & Analysis Lead - Cost Optimization

Santander US; New York (NY); On-site; USD 115,000 - 145,000; Full time

Job summary

Santander US is seeking a Financial Control & Analysis Associate to support budgeting, forecasting, and financial performance analysis across the organization. The role collaborates with FP&A, Accounting, and other corporate teams to enable data-driven decision-making.

The candidate should have strong Excel skills, experience with BI tools, and fluency in Spanish, with a focus on accuracy, multi-tasking, and timely delivery.

Qualifications

• Bachelor’s degree in finance, accounting, economics, business administration, or related field (required).
• Master’s degree or equivalent postgraduate qualification (preferred).
• 5+ years of experience in Finance, FP&A, Financial Control, Accounting, or Internal Audit - Required.
• Fluent Spanish (required).
• Advanced proficiency in Microsoft Excel.

Responsibilities

• Lead and support the annual budgeting process and monthly forecasting activities.
• Monitor, control, and analyze operating expenses, identifying risks and cost optimization opportunities.
• Perform financial analysis, including profitability, trend analyses, and KPIs.
• Prepare variance analysis and explain performance vs Budget, Forecast, and Prior Year.
• Consolidate, validate, and analyze information from multiple systems and ERP platforms.
• Prepare recurring and ad hoc financial reports for management decisions.

Skills

Fluent Spanish

Strong analytical

Excellent communication

Detail oriented

Multi-priority management

Education

Bachelor’s degree in finance, Accounting, Economics, Business Administration, or related field

Master's degree or equivalent postgraduate qualification

Tools

Microsoft Excel

Power BI

SAP

ERP systems

Job description

Santander US is seeking a Financial Control & Analysis Associate to support budgeting, forecasting, and financial performance analysis across the organization. The role collaborates with FP&A, Accounting, and other corporate teams to enable data-driven decision-making.

The candidate should have strong Excel skills, experience with BI tools, and fluency in Spanish, with a focus on accuracy, multi-tasking, and timely delivery.