Associate, Model Development; Hybrid Position

Position: Associate, Model Development (Hybrid Position)
## Associate, Model Development (Hybrid Position)
Apply locations:
Dallas time type:
Full time posted on:
Posted Todayjob requisition :
Req
1586742

Associate, Model Development (Hybrid Position)
Country:
United States of America
** It Starts Here:
** Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible.  This is more than a strategic shift.  It’s a chance for driven professionals to grow, learn, and make a real difference.

If you are interested in exploring the possibilities
** We Want to Talk to You!
**** The Difference You Make:
** The Associate, Model Development is responsible for supervising the development and maintenance of sophisticated empirical models - including credit scoring models - for a nonprime auto lender. The position is highly quantitative in nature and requires an individual capable of taking a "hands on" approach to data analysis. This position is furthermore responsible for summarizing and reporting information to a variety of internal and external clients.
* Supervises the development of complex mathematical models – including credit origination and customer behavior scorecards - which directly support critical decision making processes and the company’s overall understanding of our business, the markets with
* Develops the underlying assumptions, theory, empirical evidence, and conceptual soundness of statistical and mathematical models.
* Applies statistical techniques to analyze trends and uncover risks and opportunities relative to portfolio management and originations.
* Uses internal and external data sources to create robust model development datasets.
* Ensures modeling projects are conducted in accordance with established company policies and generally-accepted mathematical modeling practices.
* Identifies modeling needs and communicates them to the Director Quantitative Modeling.
* Periodically assesses department procedures for accuracy and completeness.
* Utilizes data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.
* Encapsulates analytic findings into executive-level summary documents to support senior management decision-making.
* Liaisons with IT and other internal teams to define requirements and ensure the timely and accurate delivery of data elements required for analytic projects.
* Provides requisite information in support of independent model validation activities.
* Actively participates in the professional development of junior-level statisticians.
* Develops a thorough understanding of the firm’s operations and business practices.
* Support Model Validation and documentation of models in accordance with Santander Consumer USA internal policies and U.S. Federal Reserve regulations (SR 11-07).
*
* What You Bring:

** To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
*
* Education:

*** Bachelor’s Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required
* Master's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Preferred
*
* Qualifications:

*** 5+ Years Analytics in Financial Services Industry.

- Required.
* 5+ Years Indirect subprime Auto Financial Services Industry experience.

- Preferred.
* 5+ Years Prior experience developing credit scoring models preferred.

- Preferred.
* Demonstrated experience with logistic regression models, segmentation and variable reduction techniques, hypothesis testing, neural networks, design of experiments, ANOVA, decision trees, and linear regression.
* Prior…