Fall 2026

Quantitative Researcher Intern

VWH Capital Management

VWH Capital Management

No salary listed

H1B Sponsorship Available

Dallas, TX, USA

In Person

Work in the Uptown Dallas office is required.

PhD

Category
Quantitative Finance (1)
Required Skills
Python
Quantitative Research
R
Machine Learning
Java
Requirements
  • Holding or working toward a PhD in Statistics, Economics, Finance, or another related quantitative field.
  • Proficiency in statistical and econometric modeling, including survival analysis, time series models, logistic regression, multinomial logistic regression, Monte Carlo simulation, and machine learning.
  • Hands-on experience working with large-scale data sets.
  • Familiarity with financial mathematics.
  • 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 the Uptown Dallas office.
  • United States work authorization is required.
Responsibilities
  • Conduct empirical analysis on residential mortgage performance, including prepayment, default, loss severity, and transition matrices, using large-scale loan-level data.
  • Develop statistical models, including prepayment, default, loss severity, and multi-step transition models, to analyze loan performance.
  • Conduct full-scale in-sample and out-of-sample backtests for developed models.
  • Coordinate with the analytics team to implement statistical models and apply them to investment decision-making.
  • Assist in exploring models for new investment products.
  • Communicate with senior management about model attributes, performance, forecasts, and risk or valuation implications.
  • Perform other duties as assigned.
Desired Qualifications
  • Knowledge of mortgage analytics.
VWH Capital Management

VWH Capital Management

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