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Sr Quantitative Analyst - Pricing
Fa Exvu Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 · Detroit, MI, United States; US - Detroit #5 - 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 | Sr Quantitative Analyst - Pricing |
| Normalized title | - |
| Department / team | Data Analytics |
| Location | Detroit, MI, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-03-11 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
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 Detroit. | 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 Quantitative Pricing at GM Financial?
The Sr Quantitative Analyst - Pricing plays a key role in enhancing pricing strategies and processes through pricing model development and data driven business solutions. The Associate will focus on improving model integrity and accuracy through the collection, analysis, interpretation, and presentation of origination and forecast data. They will also apply advanced quantitative and analytical skills to improve decisions supporting various internal clients. This position will interact with many other departments to achieve overall company objectives.
Responsibilities
About the role
Develop and maintain complex pricing models and perform profitability analysis for all of International Operations Monitoring and validating model performance and updating models as needed Developing and maintaining various databases, technical models, and reports required to support product and pricing proposals and analytic responsibilities Conducting ad hoc projects incorporating project design, data collection, model development, and analysis Summarizing findings and presenting results Developing recommendations for pricing policies and procedures Gathering and analyzing data to determine impact to company profitability and financials Providing direction, training, and guidance to less experienced pricing and finance personnel and leading projects or special assignments as required
What makes you an ideal candidate?
Strong quantitative, analytical and data mining skills Ability to identify and understand business issues and map these issues into quantitative questions Efficient modeling skills with very large datasets using SAS, SQL, Python, or R Proficiency in statistical experimental design or econometrics Ability to design and implement model documentation and monitoring protocols Demonstrated understanding and experience with technical systems, rational datasets, data warehouses, data mining, and data analysis techniques Advanced knowledge of principles, standards, practices, and techniques relating to profitability modeling for a financial firm Knowledge of applied statistical methodologies including multiple regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decisions trees, multivariate methodologies, Bayes networks, non-parametric techniques, principal components, and linear programming techniques Effective written and verbal presentation skills with an ability to communicate well with Senior Management Organized, detail oriented, and ability to work independently with minimum instruction or supervision An ability to interact collaboratively with internal customers and external vendors Capable of managing multiple and varied projects including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, and meeting deadlines Demonstrated quantitative skills and ability to apply complex financial and mathematical principles Advanced process and model documentation skills Advanced Excel, SQL, Python, R, and/or SAS software skills Good Word and Power Point skills
Qualifications
Experience
2-4 years of related work experience or similar quantitative field Req And Greater than 5 years of modeling experience and strong coding skills Req Bachelor’s Degree Master’s Degree or PhD in Statistics, Applied Mathematics, Econometrics, Operations Research, Engineering, Computer Science or similar quantitative field Required
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
Full job record
| Job ID | b17cbd2c7c07068603376340cf4564d2b96f478f |
| 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 | 1672 |
| Title | Sr Quantitative Analyst - Pricing |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Detroit, MI, United States; US - Detroit #5 - MI, Detroit, MI, US |
| Department | Data Analytics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | MI |
| City | Detroit |
| Salary Raw | Description Why Quantitative Pricing at GM Financial? The Sr Quantitative Analyst - Pricing plays a key role in enhancing pricing strategies and processes through pricing model development and data driven business solutions. The Associate will focus on improving model integrity and accuracy through the collection, analysis, interpretation, and presentation of origination and forecast data. They will also apply advanced quantitative and analytical skills to improve decisions supporting various internal clients. This position will interact with many other departments to achieve overall company objectives. Responsibilities About the role Develop and maintain complex pricing models and perform profitability analysis for all of International Operations Monitoring and validating model performance and updating models as needed Developing and maintaining various databases, technical models, and reports required to support product and pricing proposals and analytic responsibilities Conducting ad hoc projects incorporating project design, data collection, model development, and analysis Summarizing findings and presenting results Developing recommendations for pricing policies and procedures Gathering and analyzing data to determine impact to company profitability and financials Providing direction, training, and guidance to less experienced pricing and finance personnel and leading projects or special assignments as required What makes you an ideal candidate? Strong quantitative, analytical and data mining skills Ability to identify and understand business issues and map these issues into quantitative questions Efficient modeling skills with very large datasets using SAS, SQL, Python, or R Proficiency in statistical experimental design or econometrics Ability to design and implement model documentation and monitoring protocols Demonstrated understanding and experience with technical systems, rational datasets, data warehouses, data mining, and data analysis techniques Advanced knowledge of principles, standards, practices, and techniques relating to profitability modeling for a financial firm Knowledge of applied statistical methodologies including multiple regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decisions trees, multivariate methodologies, Bayes networks, non-parametric techniques, principal components, and linear programming techniques Effective written and verbal presentation skills with an ability to communicate well with Senior Management Organized, detail oriented, and ability to work independently with minimum instruction or supervision An ability to interact collaboratively with internal customers and external vendors Capable of managing multiple and varied projects including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, and meeting deadlines Demonstrated quantitative skills and ability to apply complex financial and mathematical principles Advanced process and model documentation skills Advanced Excel, SQL, Python, R, and/or SAS software skills Good Word and Power Point skills Qualifications Experience 2-4 years of related work experience or similar quantitative field Req And Greater than 5 years of modeling experience and strong coding skills Req Bachelor’s Degree Master’s Degree or PhD in Statistics, Applied Mathematics, Econometrics, Operations Research, Engineering, Computer Science or similar quantitative field Required 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 |
| 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/1672 |
| Apply URL | https://fa-exvu-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/1672 |
| First Seen At | 2026-05-31 18:15:50Z |
| Last Seen At | 2026-06-06 11:21:37Z |
| Last Checked At | 2026-06-06 11:21:37Z |
| Last Changed At | 2026-05-31 18:15:50Z |
| Inactive At | — |
| Source Posted At | 2026-03-11 12:20:57Z |
| 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=2026-06-06/2026-06-06T11-21-30-248Z-a86cc81096cf82f57e899a35b68f6f29317e08f012856cb004f384fe00d05c0e.json |
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</span></span></li><li><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Conducting ad hoc projects incorporating project design, data collection, model development, and analysis </span></span></li><li><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Summarizing findings and presenting results </span></span></li><li><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Developing recommendations for pricing policies and procedures </span></span></li><li><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Gathering and analyzing data to determine impact to company profitability and financials </span></span></li><li><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Providing direction, training, and guidance to less experienced pricing and finance personnel and leading projects or special assignments as required</span></span></li></ul><p> </p><p><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:10.0pt;line-height:110%;\"><strong>What makes you an ideal candidate?</strong></span></span></p><ul style=\"list-style-type:disc;\"><li><span style=\"font-family:"Tahoma",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\"></span></span><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Strong quantitative, analytical and data mining skills </span></span></li><li><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Ability to identify and understand business issues and map these issues into quantitative questions </span></span></li><li><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Efficient modeling skills with very large datasets using SAS, SQL, Python, or R </span></span></li><li><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Proficiency in statistical experimental design or econometrics </span></span></li><li><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Ability to design and implement model documentation and monitoring protocols </span></span></li><li><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Demonstrated understanding and experience with technical systems, rational datasets, data warehouses, data mining, and data analysis techniques </span></span></li><li><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Advanced knowledge of principles, standards, practices, and techniques relating to profitability modeling for a financial firm </span></span></li><li><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Knowledge of applied statistical methodologies including multiple regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decisions trees, multivariate methodologies, Bayes networks, non-parametric techniques, principal components, and linear programming techniques</span></span></li><li><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Effective written and verbal presentation skills with an ability to communicate well with Senior Management </span></span></li><li><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Organized, detail oriented, and ability to work independently with minimum instruction or supervision </span></span></li><li><span style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">An ability to interact 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style=\"font-family:"Verdana",sans-serif;\"><span style=\"font-size:9.0pt;line-height:110%;\">Good Word and Power Point skills</span></span></li></ul>",
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