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Santander

Global retail and commercial banking group

Associate Model Development

Quantitative RiskConfirmed live in the last 24 hours
Full-timeDallas, TX, USA$90k - $170k /yr

About the Job

Requirements

  • A bachelor's degree in a related field, or equivalent demonstrated through work experience, training, military service, or education.
  • At least 5 years of analytics experience in the financial services industry.
  • Experience with logistic regression models, segmentation and variable-reduction techniques, hypothesis testing, neural networks, design of experiments, analysis of variance, decision trees, and linear regression.
  • Prior experience working with credit bureau data.
  • Prior experience using SAS, particularly SAS Base, SAS/STAT, PROC SQL, and SAS Macro programming.
  • Ability to use SQL and SAS to extract data from multiple data sources.
  • Ability to merge, concatenate, clean, and prepare extremely large datasets for statistical analysis and mathematical model development.
  • Ability to create complex pivot tables in Microsoft Excel.
  • Ability to explain advanced mathematical concepts, techniques, and analyses to a business audience.
  • Ability to translate analysis into a clear business plan.
  • Strong written and verbal communication skills.
  • Ability to delegate and coordinate multiple tasks related to the development and monitoring of statistical models.
  • Ability to maintain confidentiality.
  • Must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment.

Responsibilities

  • Supervise the development and maintenance of sophisticated empirical models, including credit scoring models, for a nonprime auto lender.
  • Summarize and report information to a variety of internal and external clients.
  • Supervise the development of complex mathematical models, including credit origination and customer behavior scorecards, that support critical decision-making processes and understanding of the business and markets.
  • Develop the underlying assumptions, theory, empirical evidence, and conceptual soundness of statistical and mathematical models.
  • Apply statistical techniques to analyze trends and uncover risks and opportunities relative to portfolio management and originations.
  • Use internal and external data sources to create robust model-development datasets.
  • Ensure modeling projects follow established company policies and generally accepted mathematical-modeling practices.
  • Identify modeling needs and communicate them to the Director of Quantitative Modeling.
  • Periodically assess department procedures for accuracy and completeness.
  • Use data-mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations.
  • Encapsulate analytic findings in executive-level summary documents to support senior-management decision-making.
  • Liaise with IT and other internal teams to define requirements and ensure timely, accurate delivery of data elements required for analytic projects.
  • Provide requisite information in support of independent model-validation activities.
  • Participate in the professional development of junior-level statisticians.
  • Develop a thorough understanding of the firm's operations and business practices.
  • Support model validation and documentation in accordance with Santander Consumer USA internal policies and U.S. Federal Reserve regulations (SR 11-07).

Desired Qualifications

  • A master's degree in a related field, or equivalent demonstrated through work experience, training, military service, or education.
  • At least 5 years of experience in the indirect subprime auto financial services industry.
  • At least 5 years of prior experience developing credit scoring models.
  • Additional knowledge of R.
  • Established work history or equivalent demonstrated through work experience, training, military service, or education.

About the Company

Santander

Global retail and commercial banking group

Santander is a global bank focusing on retail and commercial banking in Europe and the Americas, serving individuals and SMEs with regional franchises and a broad consumer finance arm, plus a Corporate & Investment Banking division for multinational clients. It uses its Gravity cloud platform to migrate core banking and rapidly deploy digital services such as Openbank across markets, combining fintech-style agility with a bank's balance sheet. The bank differentiates itself by marrying a large retail footprint with global CIB capabilities under the One Santander verticals model to boost efficiency and cross-border revenue. Its goals include improving returns on tangible equity and financing the green economy through sustainable finance and renewable energy projects.

Company size
10,001+
Company stage
IPO
Headquarters
Boadilla del Monte, Spain
Founded
1902

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