Associate, Model Development (Hybrid Position)

Santander

Hybrid

Quick summary

Work type
Hybrid
Location
Dallas, TX
Salary
$90,000–$90,000 / yr
Posted
7 days ago
Closes
Nov 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $175k
This role $90k
$74k most similar roles pay here $238k

This role pays less than 96% of similar roles. Most pay $138,787–$211,400 — the shaded band above. At the midpoint, this role pays about $90k versus about $175k for comparable roles.

Based on 240 similar postings.

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

Santander currently has 4 open roles on FindRole.

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View all roles at Santander

At a glance

TL;DR · Associate, Model Development (Hybrid Position)

The Associate, Model Development role at Santander involves supervising the creation and maintenance of complex empirical models, including credit scoring models, for nonprime auto lending. This highly quantitative position requires hands-on data analysis skills and the ability to summarize findings for internal and external stakeholders. The ideal candidate will use SAS and R to develop robust datasets from various sources, apply statistical techniques to analyze trends, and ensure compliance with regulatory standards such as SR 11-07. They must have a strong background in financial services, particularly indirect subprime auto lending, and experience with logistic regression, neural networks, and SQL. The role also involves liaising with IT teams and mentoring junior statisticians, requiring excellent communication skills to translate technical insights into actionable business strategies.

What you'll do

  • Develops and maintains complex mathematical models for credit scoring and customer behavior analysis.
  • Applies statistical techniques to analyze trends and identify risks and opportunities in portfolio management.
  • Ensures modeling projects adhere to company policies and generally accepted practices.
  • Summarizes analytic findings into executive-level reports to support senior management decisions.
  • Liaisons with IT teams to define data requirements for analytic projects accurately and timely.
  • Supports model validation activities and documents models according to regulatory standards.

What we're looking for

  • 5+ years of analytics experience in the financial services industry
  • Experience developing credit scoring models and using SAS for data analysis
  • Proficiency with logistic regression, neural networks, decision trees, and SQL
  • Ability to merge large datasets and create complex pivot tables in Excel
  • Strong communication skills to explain advanced mathematical concepts to business audiences
  • Demonstrated ability to maintain confidentiality and manage multiple tasks effectively
  • Experience working with credit bureau data and conducting model validation

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