Senior Data Science Manager – NPV & Credit Modeling Lead

Veritas Partners

McLean (VA)

In loco

USD 180.000 - 240.000

Tempo pieno

45 ore fa
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Descrizione del lavoro

Veritas Partners in McLean, VA seeks a Senior Manager of Data Science to lead the decision science team and own the NPV modeling function for consumer banking products.

You will manage a team of data scientists, develop CLTV modeling to drive member profitability, and develop pricing and underwriting models to support lending decisions. Strong leadership and advanced analytics are essential.

Competenze

  • Bachelor's degree required; Master's or PhD preferred.
  • Ten years of experience building statistical models.
  • Experience managing others.
  • Advanced SQL, Python, and R skills required.
  • Experience in building risk, revenue and targeting models.
  • Strong analytical and tactical thinking.

Mansioni

  • Manage a team of data scientists to develop, maintain, and enhance NPV models for consumer banking products.
  • Build CLTV modeling to drive member profitability.
  • Develop and implement acquisition pricing and credit underwriting models to support lending decisions.
  • Develop statistical models and scorecards for credit underwriting, loan pricing, collection, and portfolio risk monitoring.
  • Develop price elasticity models to support risk-adjusted pricing.
  • Monitor performance of quantitative models and support independent model validation efforts.
  • Utilize credit models and analytics to assist lending with policies and strategies.

Conoscenze

SQL
Python
R
Statistical modeling
People management
Critical thinking

Formazione

Bachelor's degree
Master's/PhD preferred

Descrizione del lavoro

Veritas Partners in McLean, VA seeks a Senior Manager of Data Science to lead the decision science team and own the NPV modeling function for consumer banking products.

You will manage a team of data scientists, develop CLTV modeling to drive member profitability, and develop pricing and underwriting models to support lending decisions. Strong leadership and advanced analytics are essential.

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