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HomeCompaniesVwhcapitalmanagementlpQuantitative Researcher Intern

Quantitative Researcher Intern

Vwhcapitalmanagementlp · Dallas, TX, United States · Active · SmartRecruiters

Job facts

FieldValue
CompanyVwhcapitalmanagementlp
TitleQuantitative Researcher Intern
Normalized title-
Department / teamInformation Technology
LocationDallas, TX, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerSmartRecruiters
Posted / first seen2025-03-14 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-23

Related slices

PageWhat it containsOpen
Company jobsActive postings from Vwhcapitalmanagementlp.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through SmartRecruiters.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Dallas.Open
Department jobsActive postings in Information Technology.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyVwhcapitalmanagementlp
Source2e634e8a-a015-4104-bed8-b81b44f3633d
ATS providerSmartRecruiters

Description

Recruiters: Please do not contact individuals.  Please review our position on LinkedIn for further instructions. VWH Capital Management, LP (“VWH”) is an SEC-registered investment advisor and private equity firm with multi-billion dollars in assets under management. The firm is the winner of the 2023 Private Equity Wire US Emerging Manager Award for Best Performance: Debt. VWH is a major player in the U.S. distressed residential mortgage loan space and seeks to generate long-term returns in whole loans, distressed credit, and securitized products. VWH is headquartered in Dallas. For more information visit www.vwhcapital.com. VWH is seeking to hire a Quantitative Research Intern to work with the firm’s analytics and investment team. This role will work closely with key stakeholders and contribute to the continued growth and success of VWH’s residential mortgage and securities business as well as new opportunities and strategies. Ultimately, a successful candidate will be considered for full-time employment upon completion of their internship and degree. Responsibilities • Conduct empirical analysis on residential mortgage performance including prepayment, default, loss severity and transition matrix based on large scale of loan level data • Develop a full spectrum of statistical models including prepayment, default, loss severity and multi-step transition models to analyze loan performance • Conduct full-scale backtests including in-sample and out-of-sample tests for models developed • Coordinate with the analytics team to implement statistical models and apply to investment decision making • Assist in exploring models for new investment products • Communicate to senior management on model attributes, performance, forecasts and risk/valuation implications • Other duties as assigned. • Holding or working toward a PhD in Statistics, Economics, Finance or other related quantitative fields • Proficiency in statistical and econometric modeling, such as survival analysis, time series models, logistic regression, multinomial logistic regression, Monte Carlo simulation, as well as machine learning • Hands on experience in working with large scale data sets • Familiarity with financial mathematics, knowledge of mortgage analytics is a plus • Proficiency in R/Python/Java or other statistical software packages. • Ability to manage multiple tasks and deliver high quality work in a dynamic environment • Ability to work in Uptown Dallas office • US work authorization is required. The firm will sponsor H1B for full-time employees. VWH offers competitive compensation during the internship program. VWH Capital Management, LP is an equal opportunity employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic prohibited by applicable law.

Full job record

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Org IDe78489ac-2a70-4005-86bb-0dbf4403032f
Source ID2e634e8a-a015-4104-bed8-b81b44f3633d
Board ID2e634e8a-a015-4104-bed8-b81b44f3633d
Providersmartrecruiters
Provider Job Key744000047814024
TitleQuantitative Researcher Intern
Normalized Title
Statusactive
Activeyes
Location TextDallas, TX, United States
DepartmentInformation Technology
Team
Employment Typefull_time
Workplace Type
Remote Policy
CountryUnited States
RegionTX
CityDallas
Salary RawRecruiters: Please do not contact individuals.  Please review our position on LinkedIn for further instructions. VWH Capital Management, LP (“VWH”) is an SEC-registered investment advisor and private equity firm with multi-billion dollars in assets under management. The firm is the winner of the 2023 Private Equity Wire US Emerging Manager Award for Best Performance: Debt. VWH is a major player in the U.S. distressed residential mortgage loan space and seeks to generate long-term returns in whole loans, distressed credit, and securitized products. VWH is headquartered in Dallas. For more information visit www.vwhcapital.com. VWH is seeking to hire a Quantitative Research Intern to work with the firm’s analytics and investment team. This role will work closely with key stakeholders and contribute to the continued growth and success of VWH’s residential mortgage and securities business as well as new opportunities and strategies. Ultimately, a successful candidate will be considered for full-time employment upon completion of their internship and degree. Responsibilities • Conduct empirical analysis on residential mortgage performance including prepayment, default, loss severity and transition matrix based on large scale of loan level data • Develop a full spectrum of statistical models including prepayment, default, loss severity and multi-step transition models to analyze loan performance • Conduct full-scale backtests including in-sample and out-of-sample tests for models developed • Coordinate with the analytics team to implement statistical models and apply to investment decision making • Assist in exploring models for new investment products • Communicate to senior management on model attributes, performance, forecasts and risk/valuation implications • Other duties as assigned. • Holding or working toward a PhD in Statistics, Economics, Finance or other related quantitative fields • Proficiency in statistical and econometric modeling, such as survival analysis, time series models, logistic regression, multinomial logistic regression, Monte Carlo simulation, as well as machine learning • Hands on experience in working with large scale data sets • Familiarity with financial mathematics, knowledge of mortgage analytics is a plus • Proficiency in R/Python/Java or other statistical software packages. • Ability to manage multiple tasks and deliver high quality work in a dynamic environment • Ability to work in Uptown Dallas office • US work authorization is required. The firm will sponsor H1B for full-time employees. VWH offers competitive compensation during the internship program. VWH Capital Management, LP is an equal opportunity employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic prohibited by applicable law.
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.smartrecruiters.com/VWHCapitalManagementLP/744000047814024-quantitative-researcher-intern
Apply URLhttps://jobs.smartrecruiters.com/VWHCapitalManagementLP/744000047814024-quantitative-researcher-intern?oga=true
First Seen At2026-05-31 17:36:32Z
Last Seen At2026-06-23 10:47:23Z
Last Checked At2026-06-23 10:47:23Z
Last Changed At2026-05-31 17:36:32Z
Inactive At
Source Posted At2025-03-14 16:05:50Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=vwhcapitalmanagementlp/date=2026-06-23/2026-06-23T10-47-21-668Z-640ab3441feb194100ce527f94e6900cb297213bee8a62f7ab8055511f250609.json
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