Risk Statistician II

GM Financial

Fort Worth (TX)

Hybrid

USD 80,000 - 120,000

Full time

8 days ago

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Benefits offered by this job

401K matching
Bonding leave for new parents
Tuition assistance
Training
GM employee auto discount
Community service pay
Nine company holidays

Job summary

GM Financial, headquartered in Fort Worth, TX, seeks a role focusing on developing and maintaining statistical forecasting models and analyzing complex data to identify trends affecting portfolio performance.

You will validate model accuracy, create innovative data visualizations, and communicate insights to senior leaders to drive informed business decisions. The position supports a flexible hybrid schedule with in-office collaboration.

Qualifications

  • Strong understanding of data mining, analysis and statistical modeling principles.
  • Experience with data visualization and communicating results to stakeholders.
  • Experience with forecasting, modelling and reporting for portfolio performance.

Responsibilities

  • Assist in designing and maintaining forecasting models and analytical tools.
  • Utilize data mining and advanced spreadsheet/technical skills for forecasting and reporting.
  • Ensure data results are accurate via model validation practices.
  • Develop data visualizations to support business decisions.
  • Summarize analysis results and communicate methods to management.
  • Lead or guide projects and junior statisticians when needed.
  • Collaborate across teams to improve analytics processes.

Skills

Data mining
Data analysis
Visualization
Statistical modeling
Microsoft Excel
PowerPoint
Word
SAS
SQL

Education

Bachelor’s Degree in Statistics, Mathematics, Econometrics or related field
Master’s Degree in Statistics, Mathematics or related field (preferred)

Tools

SAS
SQL
Microsoft Excel
PowerPoint
Word

Job description

Why GM Financial?

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, TX. 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, TX. 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.

About the role

This role focuses on developing and maintaining statistical forecasting models while analyzing complex data to identify trends that impact portfolio performance. The position also involves communicating insights to leadership, validating model accuracy, and creating innovative data visualizations to support business decision-making.

Responsibilities
  • Assist in the design, development, and maintenance of sophisticated statistical forecasting models and analytical tools
  • Utilize data mining and advanced spreadsheet/technical skills to participate in complex forecasting, modelling, analysis, and reporting related to factors that affect portfolio performance
  • Employ best practices of data analysis and model validation to ensure data results are accurate
  • Promote innovative ways to visualize and digest complex data
  • Effectively summarize and communicate analysis results, expectations, statistical methodology and results to management
  • Conduct ad-hoc research projects incorporating project design, data collection and analysis
  • May provide direction, training, and guidance to less experienced statisticians and lead projects or assignments as required
In This Role You Will
  • Assist in the design, development, and maintenance of sophisticated statistical forecasting models and analytical tools
  • Utilize data mining and advanced spreadsheet/technical skills to participate in complex forecasting, modelling, analysis, and reporting related to factors that affect portfolio performance
  • Employ best practices of data analysis and model validation to ensure data results are accurate
  • Promote innovative ways to visualize and digest complex data
  • Effectively summarize and communicate analysis results, expectations, statistical methodology and results to management
  • Conduct ad-hoc research projects incorporating project design, data collection and analysis
  • May provide direction, training, and guidance to less experienced statisticians and lead projects or assignments as required
Qualifications

What makes you an ideal candidate?

Knowledge and Skills
  • Demonstrated understanding of data mining, data analysis and visualization, quantitative and analytical methods, statistical principles, and sophisticated statistical modeling techniques
  • Advanced with Microsoft Excel, PowerPoint, and Word
  • Experience with data analysis and spreadsheet modeling and/or reporting
  • Experience with coding (SAS or SQL preferred) for data mining and transformation in a data warehouse environment, and for statistical modeling and analysis
  • Demonstrated quantitative skills and ability to apply complex statistical principles
  • 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
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
Work Experience & Education
  • 2-4 years of experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, data presentation, and statistical analysis and modeling; the qualified candidate will also be able to demonstrate proficiency with the following tools: SAS and/or SQL, Microsoft Excel, PowerPoint, and Word required
  • 2-4 years of experience in consumer loan or lease portfolio analysis, modeling and/or forecasting preferred
  • High School Diploma or equivalent required
  • Bachelor’s Degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience required
  • Master’s Degree in Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field preferred
What We Offer
  • 401K matching
  • Bonding leave for new parents (12 weeks, 100% paid)
  • Tuition assistance
  • Training
  • GM employee auto discount
  • Community service pay
  • Nine company holidays
Our Culture

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

Compensation

Competitive pay and bonus eligibility.

Work Life Balance

Flexible hybrid work environment, 2-days a week in office.

NOTE: We are unable to consider candidates who require visa sponsorship for this position.

This position is not open to agency submissions.

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