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Quantitative Risk Analyst

Quantitative Risk Analyst
Wisconsin, US
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Job Description

Are you someone who wants to play a critical role in our company’s success? Do you enjoy solving puzzles and finding a better way to get things done? Are you someone who likes to Take The Lead and make an impact? If so, then imagine yourself at MGIC. At MGIC we are a team of dedicated professionals on a fearless mission. A team that fosters a culture of career development and continuous learning opportunities to help you rise to new heights. We are passionate about providing outstanding customer service and making a difference in our community. #WeAreMGIC

Quantitative Risk Analyst (open to Junior, Senior, or Lead Levels depending on experience)

As a Quantitative Risk Analyst, you will be an active member of a quantitative team responsible for building and implementing complex systems of mortgage models that are used throughout the company in the areas such as loss forecasting, cashflow modeling, pricing, and risk management.

How will you make an impact?

  • Utilize large loan-level datasets to build statistical models to predict the following mortgage and mortgage insurance behaviors:
    • Prepayment
    • Delinquency/Curing/Default
    • MI Cancellation
    • Loss given default
  • Engages in analytical projects and research to help support business decision-making
  • Designs and prepares reports based on model results
  • Actively involved in coding of the mortgage analytics platform that implements mortgage models
  • Effectively communicate complex statistical concepts to a wide range of audiences (both in writing and verbally)
  • Be flexible to utilize analytical skills in a variety of creative ways to address evolving business needs

Do you have what it takes?

  • Advanced degree in a quantitative field (e.g. economics, statistics, mathematics, computer science, or similar)
  • Strong data analytics and statistical modeling skills
  • Strong programming/coding experience and/or a strong aptitude to learn
  • Eagerness to learn and develop new skills in both mortgage modeling and implementation

Desirable Experiences

  • Programming in a .NET framework
  • Programming languages: Python, C#, or C++ preferred but will also consider other object orientated language
  • Working with large mortgage datasets
  • Working with third-party mortgage datasets (e.g. Black Knight, Freddie Mac, Fannie Mae, CoreLogic)
  • Working with economic time series data
  • Working with credit bureau data
  • Understanding of Monte Carlo state transition modeling frameworks
  • Understanding of mortgage models in a mortgage insurance context
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