Model Development Associate – Credit Risk (Hybrid)

Banco Santander SA

Dallas (TX)

Hybrid

USD 90,000 - 170,000

Full time

14 days+
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Job summary

Banco Santander SA seeks an Associate, Model Development for a hybrid work arrangement in the United States. The role develops and maintains advanced credit scoring and other empirical models, using SAS, SQL, and R, and reports results to internal and external clients.

The position emphasizes quantitative modeling, data preparation, and collaboration with IT and validation teams, with opportunities to mentor junior statisticians.

Qualifications

  • 5+ years analytics in financial services.
  • 5+ years indirect subprime auto financial services experience.
  • 5+ years experience developing credit scoring models.
  • Experience with logistic regression, segmentation, variable reduction, regression techniques.
  • Experience with credit bureau data.
  • Proficient in SAS (base, STAT, SQL, Macro).
  • Knowledge of R preferred.
  • Proficient in SQL and SAS data extraction across sources.
  • Ability to merge and prep very large datasets.
  • Ability to create complex MS Excel pivot tables.
  • Ability to explain math concepts to a business audience.
  • Ability to translate analysis into a business plan.
  • Strong written and verbal communication skills.
  • Ability to coordinate multiple modeling tasks and maintain confidentiality.

Responsibilities

  • Supervise development and maintenance of empirical models (credit origination and behavior scorecards).
  • Summarize and report modeling results to internal/external clients.
  • Ensure models comply with policies and regulatory expectations.
  • Identify modeling needs and coordinate with the Director Quantitative Modeling.
  • Develop data-driven insights and executive summaries for decision makers.
  • Collaborate with IT to define data requirements and delivery timelines.
  • Support model validation activities and documentation.
  • Mentor junior statisticians and maintain domain knowledge.

Skills

Logistic regression
Credit scoring
SAS
SQL
R
Neural networks
Data analysis
Model validation
Communication
Excel pivot tables

Education

Bachelor’s degree in related field
Master’s degree in related field

Tools

SAS
PROC SQL
SAS Macro
R
MS Excel

Job description

Banco Santander SA seeks an Associate, Model Development for a hybrid work arrangement in the United States. The role develops and maintains advanced credit scoring and other empirical models, using SAS, SQL, and R, and reports results to internal and external clients.

The position emphasizes quantitative modeling, data preparation, and collaboration with IT and validation teams, with opportunities to mentor junior statisticians.

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