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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

FieldValue
CompanyFa Exvu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1
TitleRisk Statistician
Normalized title-
Department / teamData Analytics
LocationFort Worth, TX, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-02-26 / 2026-05-31
Changed / last seen2026-06-18 / 2026-06-19

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City jobsActive postings in Fort Worth.Open
Department jobsActive postings in Data Analytics.Open
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Linked records

CompanyFa Exvu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1
Sourcef6d0cadf-249b-4136-83dc-06ed741e1fb3
ATS providerOracle 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 ID071757a4bb3f99a78a48c6cdccd0a5404a114c32
Org ID75949101-40bb-42f4-afdd-cf86ec16bd86
Source IDf6d0cadf-249b-4136-83dc-06ed741e1fb3
Board IDf6d0cadf-249b-4136-83dc-06ed741e1fb3
Provideroracle_hcm
Provider Job Key1837
TitleRisk Statistician
Normalized Title
Statusactive
Activeyes
Location TextFort Worth, TX, United States; US - Burnett, TX, Fort Worth, TX, US; US - Detroit - MI, Detroit, MI, US
DepartmentData Analytics
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionTX
CityFort Worth
Salary RawDescription 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 Periodday
Source URLhttps://fa-exvu-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/1837
Apply URLhttps://fa-exvu-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/1837
First Seen At2026-05-31 18:15:50Z
Last Seen At2026-06-19 11:58:41Z
Last Checked At2026-06-19 11:58:41Z
Last Changed At2026-06-18 11:59:09Z
Inactive At
Source Posted At2026-02-26 21:25:00Z
Source Updated At
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