US Analyst - CFO Solutions

U.S. Analyst Program

The U.S. Analyst Program is for recent graduates starting a career in corporate and investment banking. It offers training, mentoring and exposure across the Finance function. The position runs for a maximum of two years, with the objective of developing the Analyst into a permanent role at the end of that period or earlier, subject to performance and available headcount.

Finance Department

The Financial Steering & ALM division sits within the Finance Department and covers Profitability & Internal Pricing, Asset/Liability Management, and CFO Solutions. CFO Solutions collects financial and regulatory data from across the Bank, structures it, analyzes it, and delivers results through reports and analytical tools.

Work is done in Python, Power BI and Excel, along with AI tools approved for use.

Position Overview

• Collect data from source systems and other teams, and structure it for reuse.
• Check and clean data, and resolve differences between sources.
• Analyze data to identify trends, drivers and risks useful to management.
• Produce recurring reporting for management, regulators and business lines.
• Build and maintain dashboards, models and analytical tools.
• Work with Python, Power BI and Excel, and use approved AI tools.

Primary Responsibilities

Collecting and Structuring Data

• Gather financial and regulatory data from source systems and internal teams.
• Clean, standardize and organize data for consistent reporting and analysis.
• Reconcile figures between sources and resolve or escalate differences.
• Document data sources, definitions and reporting steps.

Analyzing Data

• Examine movements in P&L, balance sheet, capital and regulatory indicators.
• Identify trends, patterns and risks for management.
• Carry out variance and scenario analysis and contribute to forecasting.
• Present findings clearly in writing and presentation materials.

Building Reports and Tools

• Contribute to monthly and quarterly financial reporting.
• Build and maintain Power BI dashboards covering P&L, balance sheet, capital and regulatory indicators.
• Write Python to automate data collection, checks and report production.
• Use AI tools to work faster on code, analysis and documentation.

Why This Role?

This is an entry-level position with a structured learning path. The work covers getting data into usable shape, analyzing it, and building the reports and tools that deliver it. The Analyst will learn how a global bank measures profitability, capital and liquidity and will work with people who use that information to make decisions.

Education and Experience

• Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Engineering, Econometrics, Economics, Finance, Data Analytics or Computer Science.
• Master’s degree in a quantitative discipline is a plus.
• Experience in finance, data analytics or a related field is a plus.
• Recent graduates are welcome; internships and academic projects are valued.
• Experience collecting, cleaning and analyzing data end to end.
• Practical use of Python and Excel on real data.
• Comfort with quantitative analysis and basic statistics.

Skills and Knowledge

• Power BI, Python, MS Office and SQL.
• Hands-on use of AI tools for analysis, research or writing code.
• Analytical thinking, attention to detail and data accuracy.
• Curiosity, organization and good time management.
• Interest in variance and driver analysis, growth rates, trends and time series.
• Basic understanding of balance sheets, P&L, profitability, RWA and cost of risk.

About Crédit Agricole Corporate and Investment Bank

Crédit Agricole CIB is the corporate and investment bank of the Crédit Agricole group. It supports major companies and financial institutions in their development and project financing. The bank operates in a multicultural environment across more than 30 international locations and emphasizes responsible finance, collaboration, innovation, openness, diversity and inclusion.