Us Analyst - Cfo Solutions

U.S. Analyst ProgramThe 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 DepartmentThe Financial Steering& ALM division sits within the Finance Department and covers3 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 withAI tools approved for use.Position OverviewCollect data from source systems& other teams, and structure it into a form that can be used/reusedCheck and clean data, and resolve differences between sourcesAnalyze data to identify trends, drivers, risks etc. useful to managementProduce the recurring reporting that goes to management, regulators, business linesBuild and maintain dashboards, models and analytical tools, including business line scorecards, regulatory indicator views and balance sheet analyticsWork with Python, Power BI and Excel, and use the Bank's approved AI tools to work fasterPrimary ResponsibilitiesCollecting/Structuring Data:Gather financial/regulatory data from source systems and from internal teamsClean, standardize, organize that data so it can be used consistently across reports and analysisReconcile figures between sources, resolve differences where possible and escalDocument data sources, definitions and reporting steps, so that processes do not depend on one personAnalyzing Data:Examine movements in P&L, balance sheet, capital and regulatory indicators, and identify what is driving themLook for trends, patterns and risks that management should know aboutCarry out variance and scenario analysis, and contribute to forecasting work as the team develops itSet out findings clearly, in writing and presentation material for senior managementBuilding Reports & Tools:Contribute to the monthly and quarterly financial reporting cycleBuild/maintain Power BI dashboards covering P&L, balance sheet, capital, regulatory indicatorsWrite Python to automate data collection, checks, report productionUse AI tools to work faster on code, analysis, and documentation#J-18808-Ljbffr