The CIM LAO Senior Analyst is responsible for supporting Commercial Risk, Wholesale Operations, Credit Underwriting, and Portfolio Management teams across Latin America and other assigned markets through data management, portfolio analytics, regulatory reporting, process automation, and business intelligence solutions. The role serves as a key contributor to data platforms, and commercial portfolio monitoring initiatives, ensuring data integrity, accuracy, and accessibility across the organization
#LI-LP2
Responsibilities
- Develop and maintain commercial portfolio monitoring reports, dashboards, and analytical tools.
- Analyze portfolio trends, emerging risks, concentration levels, profitability, and performance metrics.
- Support monthly processes and executive reporting.
- Deliver ad-hoc analyses and recommendations to support risk management and business decisions.
- Utilize data mining and advanced technical skills to participate in complex forecasting, modeling, analysis, and reporting related to factors that affect portfolio performance
- Experience in process efficiency and automation
- Experience in Credit policy monitoring and review
- Employ best practices of data analysis and validation to ensure data results are accurate
- Promote innovative ways to visualize and digest complex data
- Proactively monitor and report relevant changes in portfolio performance to management
- Effectively summarize and communicate portfolio performance trends, expectations, forecast methodology and results to management
- Provide direction, training, and guidance to less experienced analysts and lead projects or assignments as required
#LI-LP2
Qualifications
- 3-5 years experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, and data presentation; the qualified candidate will also be able to demonstrate proficiency with the following tools: SAS and/or SQL, Microsoft Excel, PowerPoint, and Word Required
- 3-5 years experience in consumer loan or lease portfolio analysis, reporting and/or forecasting Preferred
- Bachelor’s Degree Finance, Economics, Mathematics, Business, Business Analytics, MIS, or other quantitative field; degrees in non-quantitative fields considered with adequate work experience required
- Master’s Degree Finance, Economics, Mathematics, Business, Business Analytics, MIS, or other quantitative field Preferred
- Demonstrated understanding of data mining, data analysis and visualization, quantitative and analytical methods
- Experience with coding (SAS, SQL, Phyton) for data mining and transformation in a data warehouse environment
- Experience with Databricks
- Expert with Microsoft Excel, PowerPoint, and Word
- Experience with data analysis and spreadsheet modeling and/or reporting
- Demonstrated quantitative skills
- Acute attention to detail
- Effective written and verbal presentation skills
- Capable of managing multiple projects, including ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, meeting deadlines
- Ability to identify and understand business issues and map them into quantitative questions
- Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus
- Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
- Skills in evaluating AI outputs for accuracy, compliance, and bias
- Experience integrating AI into workflows to improve efficiency or insights
- Familiarity with AI assisted research, summarization, and content generation
- Understanding of responsible AI use, including ethics and data protection
#LI-LP2
About Us
[PlaceHolder]
