Senior Specialist, Model Development

This is a fully remote position, open to applicants in Texas.

📋 Description

• Accountable for the development and upkeep of advanced empirical models, including credit scoring models, for a nonprime auto lending institution.

• Summarize and report information to a diverse range of internal and external stakeholders.

• Collaborate with various departments to fulfill overall corporate objectives.

• Engage in the creation of intricate mathematical models, such as credit origination, pricing, and customer behavior scorecards.

• Formulate the foundational assumptions, theories, empirical evidence, and conceptual integrity of statistical and mathematical models.

• Employ statistical methods to analyze trends and identify risks and opportunities.

• Utilize both internal and external data sources to develop comprehensive datasets for model creation.

• Ensure that modeling projects are executed in line with established company policies and mathematical modeling standards.

• Recognize modeling requirements and communicate them to the Director of Quantitative Modeling.

• Evaluate departmental procedures for precision and completeness.

• Apply data mining and statistical methodologies to generate analytic insights, sound hypotheses, and well-informed recommendations.

• Synthesize analytic results into executive-level summary documents for senior management decision-making.

• Act as a liaison with IT and other internal teams to clarify requirements and guarantee the timely and precise delivery of data components.

• Provide necessary information to support independent model validation efforts.

• Gain an understanding of the firm's operations and business practices.

• Assist with Model Validation and the documentation of models in compliance with internal policies and U.S. Federal Reserve regulations.

⛳️ Requirements

• Bachelor's Degree or equivalent experience in Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative field required.

• Master's Degree in Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline preferred.

• Ph.D. in Statistics, Economics, Operations Research, Applied Mathematics, or a related quantitative discipline preferred.

• Minimum of 3 years of analytics experience in the Financial Services industry required.

• At least 3 years of experience in the Indirect subprime Auto Financial Services sector preferred.

• Prior experience in developing credit scoring models preferred, with a minimum of 3 years.

• Knowledge of logistic regression models, segmentation and variable reduction techniques, hypothesis testing, neural networks, design of experiments, ANOVA, decision trees, and linear regression.

• Strong preference for candidates with prior experience working with credit bureau data.

• Experience using Python, SAS, or SQL is required.

• Proven ability to extract data from multiple sources using SQL and Python.

• Demonstrated capability to merge, concatenate, and prepare very large datasets for statistical analysis and mathematical model development.

• Proficient in creating complex pivot tables in MS Excel.

• Ability to clearly explain advanced mathematical concepts, techniques, and analyses to a business audience.

• Skill in translating analysis into a coherent business strategy.

• Strong written and verbal communication skills are essential.

• Ability to maintain confidentiality is crucial.

🏝️ Benefits

• Competitive salary.

• Fair and competitive rewards package.

• Health insurance coverage.

• Retirement plan options.

• Paid time off.

• Flexible working arrangements.

• Opportunities for professional development.