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$139,500–$209,787.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1117 open roles
on FindRole.
Listed pay typically runs
$186,160–$215,000
across 7 roles with salary data.
Infrastructure Financial Analysis Senior Associate
The Infrastructure Financial Analysis Senior Associate joins the Asset & Wealth Management Finance & Business Management team to provide financial leadership and strategic support for infrastructure, cloud, data, and AI investments. This role focuses on building financial management capabilities for the evolving AI ecosystem by creating transparency into token consumption, usage patterns, and cost drivers. You will analyze complex datasets to identify trends, manage cloud demand planning, and develop scalable analytics solutions like dashboards and scorecards. The position requires expertise in SQL, Databricks, Tableau, Power BI, Alteryx, Python, and Excel to translate technical metrics into executive-ready insights. Key responsibilities include forecasting, scenario modeling, and developing attribution models for AI expenses. You will solve critical problems regarding consumption-based technology costs, ensuring that infrastructure spending aligns with business outcomes while optimizing cloud utilization and managing financial risks across the organization.
Analyze financial results to identify business drivers, trends, risks, and opportunities for senior leadership.
Produce recurring management reports and deliver ad hoc analyses to support executive decision-making.
Manage budgeting, forecasting, and multi-period financial planning for infrastructure, cloud, data, and AI investments.
Oversee cloud demand planning, monthly billing, and cost allocation in partnership with technical teams.
Monitor cloud consumption to detect anomalies and provide actionable cost optimization recommendations.
Build scalable dashboards and visualizations to provide real-time transparency into AI token consumption and infrastructure costs.
Develop forecasting methodologies and attribution models for AI expenses and usage-based technology costs.
Analyze complex datasets to identify usage patterns and automate reporting to flag spending variances.
What we're looking for
Bachelor's degree in Finance, Economics, Data Analytics, Management Information Systems, Computer Science, Engineering, or a related field.
3+ years of experience in financial planning & analysis, business intelligence, analytics, data science, strategy, technology finance, FinOps, or related functions.
Advanced proficiency with data and analytics tools including SQL, Databricks, Tableau, Power BI, Alteryx, Python, and Excel.
Experience developing dashboards, visualizations, and executive-ready reporting for senior leadership.
Experience performing forecasting, scenario modeling, financial analysis, and executive storytelling.
Strong analytical and problem-solving skills to identify business insights from large, complex datasets.
Strong communication, presentation, collaboration, and influence skills.