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Tier-1 brand, metro location, mid-level experience, and broad required skills increase applicant competition.
Role requires domain-specific credit scoring, U.S. bureau data, and regulatory model processes, limiting cross-industry transferability.
Explicit 2+ years, mandatory Python/R, Big Data and credit model experience make filters strict and technical.
Support and participate in model maintenance, optimization, and validation initiatives concerning operational processes and reporting.
Analyze quantitative models and data outputs to ensure model efficiency and support business decisions.
Develop recommendations for model optimization and collaborate with teams to resolve issues and enhance processes.
Minimum 2+ years of quantitative model solutions or operations experience or equivalent via work, training, military, or education.
Bachelor's degree in engineering in any field.
Proficiency in Python or R and business intelligence tools (Tableau, Power BI, etc.) required.
Work Experience Required: 2+ years in quantitative model solutions or operations.
Experienced in database management and model implementation with exposure to Big Data Platforms (Hive, Spark, Hadoop, AWS).
Strong analytical skills with understanding of credit scoring model development, validation, and monitoring.
Capable of managing multiple assignments and producing high-quality technical documentation in fast-paced, complex environments.