Company 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.
Job Description
VWH opportunistically invests in U.S. residential whole loans and securities and is seeking high-caliber, driven individuals to join our rapidly expanding team in Dallas. The VWH Analytics team is seeking a Quantitative Associate who will assist in driving our residential whole loan and securities business. The candidate will interact with all internal teams such as Asset Management, Finance, and Portfolio Management. The position also offers a unique opportunity to interact directly with the Firm’s founder and Chief Investment Officer.
Responsibilities
- Actively participate in all trading activities related to U.S. residential mortgages, from bid evaluation, acquisition, disposition, and securitization.
- Conduct empirical analysis on mortgage performance including prepayment, default, and loss severity from large scale of loan level performance data.
- Design and implement model performance metrics like back tests, sensitivity, and scenario analysis.
- Maintain and enhance existing pricing engine based on market dynamics.
- Assist with valuation process on whole loan and securities.
- Work on the infrastructure build-out associated with portfolio management.
- Analyze and summarize macroeconomic indicators, such as housing and demographic trends and closely monitor housing related regulations and jurisdiction development.
- Work closely with trading and financing counter parties to evaluate and explore financing options and capital market executions.
- Work with whole loan transaction management team to track live trade due diligence and closing processes.
- Assist finance team in reconciling and processing monthly whole loan servicer remittance tapes.
- Assist in day-to-day repo financing for securities and monthly warehouse financing for loans.
- Compare various financing options including securitized deal execution.
- Managing daily risk position and portfolio P&L.
- Optimizing loan portfolios for sale and securitization.
- Design/deploy reports such as investment portfolio analysis and fund performance analysis for
Senior Management review. - Other duties as assigned.
Qualifications
- Master's degree in Engineering (any), Computer Science, Information Technology, Mathematics, or related field and 3-5 years of experience in the job offered or a related occupation.
- Proficiency in Python and working knowledge in packages such as Pandas, Numpy, Scikit-learn.
- Solid knowledge in statistical modelling, financial mathematics including statistical model development, Monte Carlo simulation, mortgage analytics, etc.
- Hands on experience in manipulating large scale of data set.
- Proficiency in Excel and financial modelling such as NPV.
- Prior experience with structured products, especially residential mortgages, securities and structuring is strongly preferred.
- Applicants should possess excellent communication skills and be organized, detail-oriented, and able to manage competing priorities.
- Ability to work in Uptown Dallas office.
- US work authorization is required. The firm will sponsor H1B visa for full-time employees.
Additional Information
VWH offers competitive compensation including base salary and a discretionary performance bonus. VWH has a compelling benefits package, including medical, dental, and vision insurance, a 401(k) plan, and generous paid time off.
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.
