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Tier-1 bank, metro location, mid-level modeling role with broad technical requirements increases competition.
Role requires credit-scoring expertise and U.S. bureau data familiarity, limiting cross-industry transferability.
Explicit 2+ years, mandatory Python/R, Big Data exposure, and regulated banking context tighten filters.
Maintain and optimize low to moderately complex quantitative models related to operational processes including controls, reporting, testing, implementation, and documentation.
Analyze basic data sets and model outputs to validate model performance and support business opportunities.
Present recommendations for model optimization and collaborate with teams to resolve issues and improve quantitative model operations.
2+ years of experience in quantitative model solutions or quantitative model operations or equivalent through work, training, military, or education.
Bachelor’s degree in engineering in any field.
Proficiency in Python or R and familiarity with business intelligence tools like Tableau or Power BI.
Work Experience Required: 2+ years in quantitative model solutions or operations explicitly mentioned.
Experience with database management and implementation of models/strategies, including exposure to Big Data platforms such as Hive, Spark, Hadoop, Cloudera, AWS.
Strong analytical skills and experience in credit scoring model development, validation, and monitoring.
Ability to manage multiple assignments efficiently in a fast-paced, complex environment, with strong skills in technical documentation and communication.