Pricing & Credit Model Associate (Hybrid Position)

Santander

Hybrid Verified listing
Dallas, TX Posted 10 days ago $90,000$90,000 / year

At a glance

AI generated

TL;DR

As a Pricing & Credit Model Associate at Santander, you will join the Auto Finance team as a key player in developing and maintaining sophisticated pricing and risk-based models for auto loan strategies. Your day-to-day responsibilities include analyzing data trends, creating actionable insights, and collaborating with cross-functional teams to optimize pricing frameworks that balance yield, risk, and volume objectives. You will leverage statistical techniques such as logistic regression, neural networks, and decision trees to develop credit scoring models and scorecards, ensuring they support critical business decisions. The role requires expertise in SAS (SAS Base, PROC SQL) and R, along with strong data manipulation skills using SQL and Excel. Ideal candidates have a background in quantitative disciplines like statistics or economics, coupled with 5+ years of experience in financial services, particularly in the subprime auto sector.

Skills

SAS SQL R Python Logistic Regression Neural Networks Decision Trees Linear Regression Data Mining Statistical Analysis Credit Scoring Models Pivot Tables Excel CI/CD

What you'll do

  • Develops pricing frameworks that balance yield, risk, and volume objectives.
  • Analyzes trends and risks using statistical techniques for portfolio management.
  • Constructs complex mathematical models supporting critical decision-making processes.
  • Partners with IT teams to define requirements for data delivery in projects.
  • Encapsulates analytic findings into executive-level summary documents for decisions.

What we're looking for

  • Bachelor's Degree in Statistics, Economics, Operations Research, Applied Mathematics, or related quantitative field required
  • 5+ years of analytics experience in the financial services industry required
  • Experience developing credit scoring models preferred
  • Proficiency with SAS (SAS Base, STAT, PROC SQL, Macro programming) and R preferred
  • Ability to extract, clean, and prepare large datasets for statistical analysis using SQL and SAS
  • Strong communication skills to translate complex data insights into business actions
  • Demonstrated experience in logistic regression, neural networks, decision trees, and linear regression

Market check

Salary context

This $90,000–$90,000 range sits above 3% of similar postings on FindRole.

Peer median band

$135,600$188,100

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$127,800$204,000

Middle half of comparable postings.

Based on 239 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Santander

Santander is one of the world''s largest banks headquartered in Spain, providing retail, commercial, and investment banking services to individuals, small businesses, and large corporations in Europe, the Americas, and beyond. Industry: Banking & Financial Services

View all roles at Santander

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