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Tier-1 employer, metro locations, and a mid-level generalist technical role drive high candidate competition.
Role requires banking risk model implementation expertise, limiting easy cross-industry transferability.
Explicit 2+ years, mandatory C and Python coding, and regulated banking risk context increases filtering rigor.
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Develop, test, validate, and implement risk model code packages in a Linux environment using C and Python.
Automate production processes via Linux scripting and manage job scheduling for risk model execution.
Analyze production data, monitor risk model performance, and provide ongoing analytic support including issue identification and documentation.
Minimum 2 years of relevant experience.
Proficient coding experience in C.
Bachelor’s degree in Computer Science, Computer Information Systems, Mathematics, Engineering or equivalent.
Work Experience Required: 2+ years (explicitly mentioned).
Experience working in risk model implementation, testing, and data quality within financial services or risk management.
Strong technical skills combining programming (C, Python) and automation in Linux environments.
Capable of cross-functional collaboration and delivering detailed analytic insights to support risk teams and production monitoring.