Consumer Risk Intern: Residual Value Analytics

GM Financial

Monterrey

Presencial

MXN 133.920 - 178.560

A tiempo parcial

14 días+

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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

Why GM Financial?

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.

Job Description

Why GM Financial?

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses.

At GM Financial, our team members define and shape our culture — an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.

Our Purpose:We pioneer the innovations that move and connect people to what matters.

This position will be posted until filled.

Responsibilities

About the role:

The Consumer Risk Intern – Residual Values will support the Risk team in the analysis, monitoring, and management of risk associated with leasing portfolio, with a focus 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.

In This Role You Will

  • Support the analysis of residual values for assets within 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

What makes You an ideal candidate?

  • Currently pursuing a degree in: Actuarial Science, Finance, Economics, Data Science or related fields.
  • Be 1 year apart from your graduation date (Graduating in June 2027 or December 2027)
  • Availability Monday to Friday from 8am to 3pm
  • 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

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