Senior Risk Analyst

GM Financial

São Paulo

Presencial

BRL 180 000 - 240 000

Tempo integral

Há 12 dias

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Resumo da oferta

GM Financial in São Paulo, Brazil, is seeking a CIM LAO Senior Analyst to support Commercial Risk, Wholesale Operations, Credit Underwriting and Portfolio Management across Latin America with data management, analytics, regulatory reporting, and automation.

You will contribute to data platforms and portfolio monitoring initiatives, ensuring data integrity, accuracy, and accessibility while delivering forecasting, modeling, and strategic insights to management.

Qualificações

3-5 years experience with complex Excel workbooks, querying large multi-table datasets, data analysis, and data presentation.
3-5 years experience in consumer loan or lease portfolio analysis, reporting and/or forecasting.
Bachelor’s Degree Finance, Economics, Mathematics, Business, MIS, or other quantitative field; Master’s Degree preferred.
Demonstrated understanding of data mining, data analysis and visualization, quantitative methods.
Experience with coding (SAS, SQL, Python) for data mining and transformation in a data warehouse environment.
Experience with Databricks.

Responsabilidades

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 forecasting, modeling, analysis, and reporting related to factors that affect portfolio performance.
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.

Conhecimentos

Data analysis

Data presentation

Forecasting

Communication

Formação académica

Bachelor's degree (quantitative)

Master's degree (preferred)

Ferramentas

SAS

SQL

Databricks

Python

Descrição da oferta de emprego

Job Description

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

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

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