Credit Strategy Lead: Portfolio Optimization & Analytics

DriveTime Automotive Group

Dallas (TX)

Hybride

USD 110 000 - 150 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Hybrid work environment
Medical, dental, and vision insurance
401(K)
Life insurance
Tuition Reimbursement
Wellness Program

Résumé du poste

DriveTime Family of Brands is seeking an Assistant Director of Credit Strategy to specialize in Portfolio Management. The role focuses on analyzing large datasets to identify credit risk pockets and implement profitable risk-mitigating strategies across the loan lifecycle.

The candidate will own the portfolio health, build scalable processes, and develop a team of analysts, communicating insights to executives and stakeholders with strong Excel, SQL, Snowflake, Python, and/or R skills.

Qualifications

  • Bachelor's or Master's degree in a quantitative field.
  • 5+ years’ experience in analytics related consumer finance roles.
  • 1+ years leading teams is preferred.
  • Advanced Excel skills and experience with coding languages such as SQL, Snowflake, Python and/or R.
  • Nice to HaveExperience using AI such as Claude, Cursor, GPT, etc.

Responsabilités

  • Own the health of our loan portfolio and craft risk-mitigating credit strategies across their lifecycle.
  • Solve large white space problems with autonomy via rigorous problem-solving frameworks and quantitative analysis.
  • Present to, communicate with, and gain buy-in from executive stakeholders.
  • Build rigorous and sustainable business processes for monitoring and analysis.
  • Develop a future team of analysts with high analytical rigor.

Connaissances

Analytical thinking
Storytelling abilities
Problem-solving skills
Attention to detail
Team leadership

Formation

Bachelor's or Master's degree in quantitative field

Outils

SQL
Snowflake
Python
R
Excel

Description du poste

DriveTime Family of Brands is seeking an Assistant Director of Credit Strategy to specialize in Portfolio Management. The role focuses on analyzing large datasets to identify credit risk pockets and implement profitable risk-mitigating strategies across the loan lifecycle.

The candidate will own the portfolio health, build scalable processes, and develop a team of analysts, communicating insights to executives and stakeholders with strong Excel, SQL, Snowflake, Python, and/or R skills.

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