Consumer Risk Intern

GM Financial; Monterrey; Presencial; MXN 133.920 - 178.560; A tiempo parcial

Descripción de la vacante

GM Financial is seeking a Consumer Risk Intern to support residual value analysis for the leasing portfolio. You will engage in quantitative tasks, benchmarking, and projection maintenance to aid risk decisions.

The role offers exposure to data science and AI-enabled workflows in a credit risk context. You will prepare reports for stakeholders, monitor KPIs, and contribute to automation initiatives, while developing technical skills in Excel, SQL, Python, and data visualization.

Formación

• Pursuing Actuarial Science, Finance, Economics, Data Science or related degree.
• Graduating in 2027 (June or December) – 1 year to go.
• Available Monday–Friday, 8:00–15:00.
• Excel proficiency (pivot tables, formulas, data analysis).
• Basic/intermediate SQL, Python, R or SAS and modeling knowledge.
• Familiar with data visualization tools.
• Strong analytical thinking and attention to detail.
• Mid-to-high English proficiency.

Responsabilidades

• Support the analysis of residual values for assets in leasing portfolio.
• Perform market benchmarking using internal/external data sources.
• Assist in building and maintaining residual value projections.
• Prepare periodic reports on portfolio performance, gaps, end‑of‑term loss risk.
• Monitor KPIs and identify trends affecting residual values.
• Assist in presentations for internal stakeholders.
• Contribute to process improvements and automation initiatives.

Conocimientos

Analytical thinking

Attention to detail

English proficiency

Educación

Actuarial Science / Finance / Economics / Data Science degree

Herramientas

Excel

SQL

Python

R

SAS

Data visualization

Descripción del empleo

Job Description

The Consumer Risk Intern – Residual Values will support the Risk team in the analysis, monitoring, and management of risk associated with the leasing portfolio, focusing on accurate estimation and management of residual values. This role provides exposure to quantitative analysis, risk modeling, used car market dynamics, and strategic credit decision‑making.

Responsibilities

• Support the analysis of residual values for assets within the leasing portfolio.
• Perform market benchmarking using internal and external data sources (used car prices, depreciation trends, auctions, etc.).
• Assist in building and maintaining residual value projections.
• Prepare periodic reports on:
  • Portfolio performance
  • Gaps vs. estimated residual values
  • End‑of‑term loss risk
• Support the monitoring of key performance indicators (KPIs).
• Identify market trends impacting residual values.
• Assist in preparing presentations for internal stakeholders.
• Contribute to process improvements and automation initiatives.

Qualifications

• Currently pursuing a degree in Actuarial Science, Finance, Economics, Data Science or related fields.
• Be 1 year away from graduation (Graduating in June 2027 or December 2027).
• Availability Monday–Friday from 8 am to 3 pm.
• Intermediate proficiency in Excel (pivot tables, formulas, data analysis).
• Basic to intermediate knowledge of:
  • SQL, Python, R or SAS (preferred)
  • Statistical or financial modeling
• Familiarity with data visualization tools.
• Strong analytical thinking and attention to detail.
• Intermediate to advanced English proficiency (required).

Additional Knowledge And Skills

• Working effectively within an AI‑enabled environment:
  • 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.