USA Sr. Specialist, Model Development (Remote-Texas)

About the role

The Sr. Specialist, Model Development is responsible for developing and maintaining sophisticated empirical models - including credit scoring models - for a nonprime auto lender. This role requires an individual capable of taking a "hands on" approach to data analysis and interacting with many other departments to achieve the overall company objectives.

Responsibilities

• Develops and maintains sophisticated empirical models - including credit scoring models - for a nonprime auto lender.
• Takes a "hands on" approach to data analysis.
• Summarizes and reports information to a variety of internal and external clients.
• Interacts with many other departments in the interest of achieving the overall company objectives.
• Constructs complex mathematical models – including credit origination, pricing and customer behavior scorecards – which directly support critical decision-making processes and the company’s overall understanding of its business, the markets within which it operates, and its customers.
• 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.
• Safeguards modeling projects in accordance with established company policies and generally accepted mathematical modeling practices.
• Identifies modeling needs and communicates them to the Director Quantitative Modeling.
• Affirms 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.
• Liaises with IT and other internal teams to define requirements and ensure the timely and accurate delivery of data elements for analytic projects.
• Supports Model Validation and documentation of models in accordance with Santander Consumer USA internal policies and U.S. Federal Reserve regulations (SR 11-07).

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.
• Ph.D.: Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline required or equivalent experience.
• 3+ Years Analytics in Financial Services Industry.
• 3+ Years Indirect subprime Auto Financial Services Industry experience.
• 3+ Years Prior experience developing credit scoring models 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.
• Demonstrated ability to use advanced mathematical concepts, techniques, and analyses to support business decisions.
• Demonstrated ability to communicate complex ideas clearly to a business audience.
• Strong written and verbal communication skills.
• Ability to maintain confidentiality.

Qualifications

• 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.
• Ph.D.: Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline required or equivalent experience.
• 3+ Years Analytics in Financial Services Industry.
• 3+ Years Indirect subprime Auto Financial Services Industry experience.
• 3+ Years Prior experience developing credit scoring models 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.
• Demonstrated ability to use advanced mathematical concepts, techniques, and analyses to support business decisions.
• Demonstrated ability to communicate complex ideas clearly to a business audience.
• Strong written and verbal communication skills.
• Ability to maintain confidentiality.

Skills

• Statistical Techniques
• Data Mining
• Python
• SAS
• SQL
• Microsoft Excel
• Advanced Mathematical Concepts
• Communication Skills

Benefits

Details about benefits are available in the provided document: Santander OnGoing/NH eGuide (foleon.com).

Pay

The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.

• Minimum Base Pay Range: $65,625.00 USD
• Maximum Base Pay Range: $145,000.00 USD

Schedule

The schedule for this role is not specified in the job posting.