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Candidates are encourage to apply directly to VWH.
Company Description 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 securitized products, distressed credit, and whole loans. VWH is headquartered in Dallas. For more information visit
Job Description 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. Requirements 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. Compensation and Benefits 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.
