Manager - Commercial Modeling and Advanced Analytics

Posted 6 Hours Ago
Be an Early Applicant
3 Locations
Hybrid
Junior
Fintech • Financial Services
The Role
Lead research, analysis, and modeling for commercial lending risk. Build and apply algorithms to key metrics, analyze large datasets, document and monitor models, and present findings to senior leadership. Partner with business, IT, and operations to implement analytics-driven strategies and corrective actions that reduce losses and improve portfolio performance.
Summary Generated by Built In

Why Global Business Lending Risk at GM Financial? 

The Global Business Lending Risk team at GM Financial operates on multiple fronts. First, the team is dedicated to helping decision makers navigate lending risks by providing insights on a wide-ranging variety of topics such as economics and performance trends across markets in North and South America. Second, the team manages the retail and lease lifecycle on business borrowers by monitoring trends on customer behaviors, industry practices, and various other attributes related to the portfolio. Third, the team is engaged in working with operations and IT to implement strategic initiatives that provide value to customers and efficiencies to the enterprise.  Working in this environment requires attention to detail and accuracy due to the evolving nature of the auto industry and the strict financial regulations.  A creative mindset is paramount for this role.

If you are creative, detail oriented, have a love for collaborating with global partners, and problem solving to provide valuable insights, this is the right fit for you.

This position will be posted until filled.


About the role

The Manager - Commercial Modeling and Advanced Analytics is responsible for all aspects of non-general population portfolio management and risk mitigation. This role interfaces with Senior Management, Sales, Legal and Executive Leadership to develop appropriate corrective actions plans that result in minimal losses to GM Financial.

  • Performs research, analysis, and modeling on organizational data
  • Assists in analyzing key metrics and performing data analysis
  • Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
  • Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business
  • Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
  • Presents findings and analysis for use in decision making
  • Ensures that the delivered products meet the business needs of the company
  • Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership
  • Prioritizes tasks and meets project deadlines in a fast paced work environment.
Responsibilities

What makes you an ideal candidate?

  • Ability to identify and understand business issues and map these issues into quantitative questions
  • Advanced knowledge and demonstrated understanding of applied methodologies including logistic regression, sampling methodologies, categorical data analysis, and decision trees
  • Advanced skills in SAS, SQL, Excel, Word, PowerPoint required
  • Ability to design and implement model documentation and monitoring protocols
  • Demonstrated understanding and experience with technical systems, datasets, data warehouses, and data analysis techniques
  • Efficiently work with large datasets
  • Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics
  • Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand
  • Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems
  • Ability to identify and seek needed information/research skills
  • Analytical thinking and strong problem solving skills
  • Ability to interact collaboratively with internal and external customers
  • Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure
Qualifications

Education & Work Experience

  • 2+ years Statistician or similar quantitative field required
  • Master’s Degree in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, or similar quantitative field 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

     

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and 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 per week in the office

This position is not open to agency submissions

#GMFJobs #LI-hybrid #LI-CH1

Skills Required

  • Master's Degree in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, or similar quantitative field
  • 2+ years experience as a Statistician or similar quantitative field
  • Advanced skills in SAS
  • Advanced skills in SQL
  • Advanced skills in Excel
  • Proficient in Word and PowerPoint for reporting and presentations
  • Advanced knowledge of applied methodologies: logistic regression, sampling, categorical data analysis, decision trees
  • Ability to design and implement model documentation and monitoring protocols
  • Demonstrated experience with technical systems, datasets, and data warehouses
  • Ability to efficiently work with large datasets
  • Strong quantitative, analytical and statistical skills
  • Strong written and verbal presentation skills; ability to communicate complex concepts to senior leadership
  • Ability to use AI tools (e.g., Microsoft Copilot), evaluate AI outputs, and integrate AI into workflows

GM Financial Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GM Financial and has not been reviewed or approved by GM Financial.

  • Strong & Reliable Incentives Annual and performance bonuses are described as meaningful additions to total compensation. In several functions, incentives reliably boost take-home pay when available.
  • Leave & Time Off Breadth Generous paid time off, corporate and floating holidays, and paid volunteer time are emphasized. Time-away programs contribute significantly to perceived total rewards.
  • Parental & Family Support Paid parental leave and family-friendly policies are highlighted, with recent expansions mentioned in some areas. Support for bonding time is seen as a notable strength of the package.

GM Financial Insights

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The Company
HQ: Fort Worth, TX
7,790 Employees
Year Founded: 1992

What We Do

GM Financial is the captive finance company and the wholly owned subsidiary of General Motors and is headquartered in Fort Worth, Texas. The company is a global provider of auto finance solutions, with operations in North America, Latin America and China. Through our long-standing relationships with auto dealers, we offer attractive retail loan 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. GM Financial employs more than 9,000 hard-working team members, and we're always looking for new people with diverse talents. GM Financial is a workplace where dedicated people have the opportunity to work together and celebrate our successes. Our culture is based on respect, integrity, innovation and personal development. GM Financial is committed to strengthening the communities where we live and work. Each year, we select several philanthropic organizations to support through our Signature Events program. The company and its team members actively support these organizations through many company-wide initiatives; in addition we support numerous other nonprofit organizations through sponsorships and monetary donations.

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