General information

Entity

About Crédit Agricole Corporate and Investment Bank (Crédit Agricole CIB)

Crédit Agricole CIB is the corporate and investment bank of the Crédit Agricole group, the 10th largest banking group in the world *.

We support major companies and financial institutions in their development and the financing of their projects.

As pioneers in responsible finance, social and environmental commitments are at the heart of our activities.

Joining our teams means working in a multicultural environment, both dynamic and stimulating, where you will contribute to developing a sustainable economy.

We support employees throughout their journey: you will develop your skills and access various mobility opportunities among the diversity of our businesses in more than 30 international locations.

Our culture is built on collaboration, innovation and openness, where everyone is valued and empowered.

By working every day in the interest of society, Crédit Agricole CIB aligns with the Group values committed to diversity and inclusion and placing people at the heart of all its transformations.

All our jobs are open to people with disabilities. We welcome applications from candidates of all backgrounds and experiences.

Ready to take part in our mission ?

*By balance sheet size - The Banker, Juillet 2025

Reference

2026-115163

Update date

31/08/2026

Job description

Business type

Types of Jobs - Finance / Accounting

Job title

US Analyst - CFO Solutions

Contract type

Fixed-Term Contract

Term (in months)

Job summary

U.S. Analyst Program

The U.S. Analyst Program is for recent graduates starting a career in corporate & 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 3 product lines at Credit Agricole CIB Americas: Profitability & Internal Pricing (PIP), Asset/Liability Management (ALM), and CFO Solutions (CFX). This provides analysis of the Bank’s business activities across solvency, liquidity, balance sheet, profitability, regulatory status, and analysis of relevant data in order to provide optimization suggestions.

CFO Solutions is the data and analysis team within the division. It collects financial/regulatory data from a range of sources across the Bank, structures it so that it can be used with confidence, analyses it to find what is useful to management, and delivers the result through reports & 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 & other teams, and structure it into a form that can be used/reused
Check and clean data, and resolve differences between sources
Analyze data to identify trends, drivers, risks etc. useful to management
Produce the recurring reporting that goes to management, regulators, business lines
Build and maintain dashboards, models and analytical tools, including business line scorecards, regulatory indicator views and balance sheet analytics
Work with Python, Power BI and Excel, and use the Bank’s approved AI tools to work faster

Primary Responsibilities

Collecting/Structuring Data:

Gather financial/regulatory data from source systems and from internal teams
Clean, standardize, organize that data so it can be used consistently across reports and analysis
Reconcile figures between sources, resolve differences where possible and escalate the rest
Document data sources, definitions and reporting steps, so that processes do not depend on one person

Analyzing Data:

Examine movements in P&L, balance sheet, capital and regulatory indicators, and identify what is driving them
Look for trends, patterns and risks that management should know about
Carry out variance and scenario analysis, and contribute to forecasting work as the team develops it
Set out findings clearly, in writing and presentation material for senior management

Building Reports & Tools:

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

Supplementary Information

Why This Role?

This is an entry-level position with a structured learning path. The work has three parts of roughly equal weight: getting data into usable shape, analyzing it, and building the reports and tools that deliver it. The Analyst is expected to contribute to all three rather than specialize in one. You will see and learn how a global bank measures its own profitability, capital and liquidity, and you will work with the people who use that information to make decisions.

Salary: $80,000

#LI-DNI

Position location

Geographical area

America, United States Of America

City

NEW YORK

Candidate criteria

Minimal education level

Bachelor Degree / BSc Degree or equivalent

Academic qualification / Speciality

Education Essential:

Bachelor’s degree in a quantitative discipline: Mathematics, Statistics, Engineering, Econometrics, Economics, Finance, Data Analytics, Computer Science or a related field

Education Preferred:

Master’s degree in a quantitative discipline is a plus

Level of minimal experience

0-2 years

Experience

Experience Essential:

Experience in Finance, data analytics, or a related field is a plus. Recent graduates are welcome - internships and academic projects are valued.
Experience working with data end to end: collecting it, cleaning it and drawing something out of it
Practical use of Python and Excel on real data, from any setting
Comfort with quantitative analysis and basic statistics

Required skills

Skills & Knowledge Essential:

Experience with Power BI, Python, MS Office, SQL
Hands-on use of AI tools for analysis, research or writing code
Willingness to learn quickly. This matters more than what the candidate already knows.
Analytical thinking. Able to break a question down, work out which data answers it, and reach a conclusion that holds up to challenge.
Attention to detail and data accuracy
Curiosity: interest in why a number moved, not only what it is
Organized approach to work and good time management
Interest to quantitative analysis: variance and driver analysis, growth rates, trends and time series. Forecasting and optimization are areas the team is developing.
Basic understanding of financial concepts such as balance sheet, P&L, profitability, RWA and cost of risk. Prior banking knowledge is not required.