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Santander

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Senior Specialist, Model Development

GeneralGeneralFull TimeRemoteSeniorTeam 10,001+Since 1857H1B SponsorCompany SiteLinkedIn

Location

Texas

Posted

13 days ago

Salary

$65.6K - $145K / year

Seniority

Senior

Postgraduate Degree3 yrs expEnglishPythonSQL

Job Description

Senior Specialist, Model Development

Santander

• Responsible for developing and maintaining sophisticated empirical models - including credit scoring models - for a nonprime auto lender • Summary and reporting of information to a variety of internal and external clients • Interact with many other departments to achieve overall company objectives • Participate in the construction of complex mathematical models – including credit origination, pricing and customer behavior scorecards • Develop underlying assumptions, theory, empirical evidence, and conceptual soundness of statistical and mathematical models • Apply statistical techniques to analyze trends and uncover risks and opportunities • Use internal and external data sources to create robust model development datasets • Ensure modeling projects are conducted in accordance with established company policies and mathematical modeling practices • Identify modeling needs and communicate them to the Director Quantitative Modeling • Assess department procedures for accuracy and completeness • Utilize data mining and statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations • Encapsulate analytic findings into executive-level summary documents for senior management decision-making • Liaison with IT and other internal teams to define requirements and ensure timely and accurate delivery of data elements • Provide requisite information in support of independent model validation activities • Develop understanding of the firm’s operations and business practices • Support Model Validation and documentation of models in accordance with internal policies and U.S. Federal Reserve regulations

Job Requirements

  • Bachelor's Degree or equivalent work experience: Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline required or equivalent experience
  • Master's Degree: Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline required or equivalent experience. - Preferred
  • Ph.D.: Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline required or equivalent experience - Preferred
  • 3+ Years Analytics in Financial Services Industry. - Required
  • 3+ Years Indirect subprime Auto Financial Services Industry experience. - Preferred
  • 3+ Years Prior experience developing credit scoring models preferred. - Preferred
  • Familiarity with logistic regression models, segmentation and variable reduction techniques, hypothesis testing, neural networks, design of experiments, ANOVA, decision trees, and linear regression
  • Prior experience working with credit bureau data strongly preferred
  • Prior experience using Python, or SAS, SQL
  • Demonstrated ability to use SQL and Python to extract data from multiple data sources
  • Demonstrated ability to merge, concatenate, and prepare extremely large datasets for statistical analysis and mathematical model development
  • Demonstrated ability to create complex pivot tables in MS Excel
  • Ability to effectively 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 maintain confidentiality

Benefits

  • Competitive salary
  • Fair and competitive rewards package
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities

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