1

Credit Risk Analytics Manager Jobs (NOW HIRING)

Director, Credit Risk & Analytics About this job As the captive lender behind the nation's largest ... Building and leading a world-class analytical team -- hiring exceptional talent, developing manager ...

Credit Risk Analyst

San Diego, CA · On-site

$70.30K - $88.45K/yr

... of sales and management, to ensure the protection of the company's mark to market exposure (MTM) and accounts receivable assets through the effective use of credit risk analytics and systems.

... of sales and management, to ensure the protection of the company's mark to market exposure (MTM) and accounts receivable assets through the effective use of credit risk analytics and systems.

This role is responsible for producing insightful reports, dashboards, and analytics that support credit risk monitoring, strategy evaluation, and regulatory compliance. * The ideal candidate will ...

Consumer Credit Risk Analyst This position within Corporate Risk Management is responsible for the oversight of consumer credit policy through effective planning and execution of ongoing and periodic ...

Collaborates with others to drive Credit Risk Management initiatives. Reports to the Director of Credit Risk & Data Analytics. Work is performed with a high degree of independence. Schedule: Monday ...

Collaborates with others to drive Credit Risk Management initiatives. Reports to the Director of Credit Risk & Data Analytics. Work is performed with a high degree of independence. Schedule: Monday ...

next page

Showing results 1-20

Credit Risk Analytics Manager information

See salary details

$35K

$131.9K

$175.5K

How much do credit risk analytics manager jobs pay per year?

As of May 30, 2026, the average yearly pay for credit risk analytics manager in the United States is $131,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $160,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Credit Risk Analytics Manager, and why are they important?

To thrive as a Credit Risk Analytics Manager, you need a strong background in quantitative analysis, risk assessment, and finance, typically supported by a degree in mathematics, statistics, finance, or a related field. Proficiency in statistical software (such as SAS, R, or Python), data visualization tools, and familiarity with regulatory frameworks like Basel III are essential. Strong problem-solving, communication, and leadership skills help you effectively interpret complex data and guide cross-functional teams. These capabilities are crucial to accurately assess credit risk, inform business decisions, and ensure compliance with industry regulations.

How does a Credit Risk Analytics Manager typically collaborate with other departments to manage risk effectively?

A Credit Risk Analytics Manager works closely with various teams such as underwriting, finance, IT, and compliance to gather data, implement risk models, and ensure regulatory requirements are met. This collaboration often includes presenting analytical findings to senior management, advising on credit policy adjustments, and supporting product development with risk assessments. Effective communication and teamwork are essential, as the manager translates complex data insights into actionable strategies that align with business goals. Cross-functional collaboration also helps identify potential risks early and ensures the company’s credit strategies are robust and up-to-date.

What does a Credit Risk Analytics Manager do?

A Credit Risk Analytics Manager is responsible for analyzing and managing the credit risk exposure of a financial institution or organization. They develop and implement risk assessment models, analyze large sets of financial data, and create strategies to minimize potential losses from credit defaults. Their work involves collaborating with other departments, such as lending, underwriting, and compliance, to ensure that the company's credit policies are effective and aligned with regulatory requirements. Additionally, they report on risk trends and provide insights to support business decision-making.
More about Credit Risk Analytics Manager jobs
What cities are hiring for Credit Risk Analytics Manager jobs? Cities with the most Credit Risk Analytics Manager job openings:
Who are the top companies hiring for Credit Risk Analytics Manager jobs? The top employers for Credit Risk Analytics Manager jobs are:
What states have the most Credit Risk Analytics Manager jobs? States with the most job openings for Credit Risk Analytics Manager jobs include:
What job categories do people searching Credit Risk Analytics Manager jobs look for? The top searched job categories for Credit Risk Analytics Manager jobs are:
Risk Analyst II - Credit Risk Analytics

Risk Analyst II - Credit Risk Analytics

GM Financial

Irving, TX • Hybrid

Full-time

Retirement

Posted 14 days ago


GM Financial rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

72nd of 139 rated vehicle equipment hire


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.

What makes You an ideal candidate?

  • Demonstrated understanding of data warehouses, data mining, reporting, data analysis and data visualization techniques
  • Advanced with Microsoft Excel, PowerPoint, and Word
  • Experience with respect to data analysis and spreadsheet modeling and/or reporting
  • Experience with coding (SAS or SQL preferred) for data mining and manipulation
  • Querying skills and knowledge in a data warehouse environment
  • Demonstrated quantitative skills
  • Acute attention to detail
  • Effective written and verbal presentation skills
  • Ability to interact collaboratively and proactively with internal customers
  • Capable of managing multiple projects, including ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, meeting deadlines
  • Understanding of the metrics utilized in monitoring the performance of a consumer or commercial lending portfolio is a plus
  • Subject to stressful situations.
  • Fast paced office environment.
  • Strong focus on providing quality service to internal and external customers.
  • Work a flexible schedule including extended business hours, weekends and holidays.
  • Limited travel may be required to support business needs.

Education & Work Experience

  • 2-4 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
  • 2-4 years experience in consumer and/or commercial loan and lease origination analysis 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

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 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

#GMFJobs #LI-Hybrid #LI-MO1

About the role

Risk Analyst II - Credit Risk Analytics is responsible for analyzing credit risk exposure related to consumer and commercial loan and lease acquisition activities.  The position involves conducting analysis to mitigate credit risk, create and monitor credit policy, measure credit execution and credit structure.  In addition, this position will be responsible for monitoring credit performance by region, credit center, and dealership.

In this role you will:

  • Utilize data mining and advanced spreadsheet skills to quantify credit risk related to loan and lease origination activities
  • Summarize findings, develop recommendations and present analyses to management in a clear, concise, convincing, and actionable format
  • Employ best practices of data analysis and validation to ensure data results are accurate
  • Assist in the creation, maintenance and monitoring of origination credit policies, procedures and lending stipulations
  • Understand how change to origination credit policy and lending environment can impact loan/lease volume as well as overall credit performance
  • Proactively monitor and report relevant changes in origination trends and portfolio performance to management
  • Conduct ad hoc research projects incorporating project design, data collection and analysis, summarization of finding, and presentation of results

What GM Financial employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom