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Risk Statistician
Fa Exvu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 · Fort Worth, TX, United States; US - Burnett, TX, Fort Worth, TX, US; US - Detroit - MI, Detroit, MI, US · Hybrid · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Exvu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 |
| Title | Risk Statistician |
| Normalized title | - |
| Department / team | Data Analytics |
| Location | Fort Worth, TX, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-02-26 / 2026-05-31 |
| Changed / last seen | 2026-06-18 / 2026-06-19 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fa Exvu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Fort Worth. | Open |
| Department jobs | Active postings in Data Analytics. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fa Exvu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 |
| Source | f6d0cadf-249b-4136-83dc-06ed741e1fb3 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
Why Risk Statistician?
The Risk Statistician plays a role in supporting the portfolio forecasting team, and providing statistical support and expertise to projects originating from the Portfolio Forecasting group within Risk Management. This position focuses on assisting in the design and development of complex portfolio forecasting models, analysis of credit performance within the broader auto finance market, and developing and maintaining credit score based loss models. These models are used to support corporate planning, financing loan pricing operations, and the Allowance for Loan Losses. In addition, this position is responsible for completing ad-hoc statistical analyses of factors relating to originations and portfolio performance, under the guidance of a Senior Statistician or AVP.
About the role:
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, modeling, 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 Assist in ad-hoc research projects incorporating project design, data collection and analysis Monitoring and validating model performance and updating models as needed Gathering and analyzing data to determine impact to business operations
Responsibilities
What makes you an ideal candidate?
Advanced knowledge of applied statistical methodologies Knowledge of quantitative, analytical and data mining Knowledge of SAS, Excel, Word and PowerPoint Knowledge of spreadsheet modeling and credit risk techniques Ability to coordinate and balance numerous tasks under pressure and meet deadlines Ability to identify and understand business issues and map these issues into quantitative questions Ability to identify emerging business issues and place them into quantitative questions Ability to interact collaboratively with internal customers and external vendors Process and model documentation skills Advanced quantitative skills and ability to apply complex econometric principles Advanced quantitative skills and ability to apply complex statistical principles
Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus
Qualifications
Experience & Education:
0-2 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 preferred 0-2 years experience in consumer loan or lease portfolio analysis, modeling and/or forecasting preferred
Bachelor’s Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience required Master’s Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field preferred
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 the office.
Full job record
| Job ID | 071757a4bb3f99a78a48c6cdccd0a5404a114c32 |
| Org ID | 75949101-40bb-42f4-afdd-cf86ec16bd86 |
| Source ID | f6d0cadf-249b-4136-83dc-06ed741e1fb3 |
| Board ID | f6d0cadf-249b-4136-83dc-06ed741e1fb3 |
| Provider | oracle_hcm |
| Provider Job Key | 1837 |
| Title | Risk Statistician |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Fort Worth, TX, United States; US - Burnett, TX, Fort Worth, TX, US; US - Detroit - MI, Detroit, MI, US |
| Department | Data Analytics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | TX |
| City | Fort Worth |
| Salary Raw | Description Why Risk Statistician? The Risk Statistician plays a role in supporting the portfolio forecasting team, and providing statistical support and expertise to projects originating from the Portfolio Forecasting group within Risk Management. This position focuses on assisting in the design and development of complex portfolio forecasting models, analysis of credit performance within the broader auto finance market, and developing and maintaining credit score based loss models. These models are used to support corporate planning, financing loan pricing operations, and the Allowance for Loan Losses. In addition, this position is responsible for completing ad-hoc statistical analyses of factors relating to originations and portfolio performance, under the guidance of a Senior Statistician or AVP. About the role: 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, modeling, 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 Assist in ad-hoc research projects incorporating project design, data collection and analysis Monitoring and validating model performance and updating models as needed Gathering and analyzing data to determine impact to business operations Responsibilities What makes you an ideal candidate? Advanced knowledge of applied statistical methodologies Knowledge of quantitative, analytical and data mining Knowledge of SAS, Excel, Word and PowerPoint Knowledge of spreadsheet modeling and credit risk techniques Ability to coordinate and balance numerous tasks under pressure and meet deadlines Ability to identify and understand business issues and map these issues into quantitative questions Ability to identify emerging business issues and place them into quantitative questions Ability to interact collaboratively with internal customers and external vendors Process and model documentation skills Advanced quantitative skills and ability to apply complex econometric principles Advanced quantitative skills and ability to apply complex statistical principles Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus Qualifications Experience & Education: 0-2 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 preferred 0-2 years experience in consumer loan or lease portfolio analysis, modeling and/or forecasting preferred Bachelor’s Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience required Master’s Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field preferred 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 the office. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | day |
| Source URL | https://fa-exvu-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/1837 |
| Apply URL | https://fa-exvu-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/1837 |
| First Seen At | 2026-05-31 18:15:50Z |
| Last Seen At | 2026-06-19 11:58:41Z |
| Last Checked At | 2026-06-19 11:58:41Z |
| Last Changed At | 2026-06-18 11:59:09Z |
| Inactive At | — |
| Source Posted At | 2026-02-26 21:25:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-exvu-saasfaprod1.fa.ocs.oraclecloud.com|CX_1/date=2026-06-19/2026-06-19T11-58-33-876Z-b4714b0d31141a08533f27ea91562330e75b4397cb99c9c9b13b16e62ecc7dd9.json |
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"ShortDescriptionStr": "Drive data‑driven insights and elevate risk strategy across GM Financial’s global portfolios. In this high‑impact role, you’ll apply advanced statistical techniques, develop robust risk models, and interpret complex data to inform critical business decisions. You will collaborate with cross‑functional partners to quantify emerging risks, enhance portfolio performance, and deliver actionable recommendations to senior leadership. Ideal candidates bring strong statistical rigor, model‑building expertise, and a passion for transforming data into meaningful risk insights.",
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