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Metro location, mid-level experience, and broadly appealing AI/data role drive high competition.
Banking-focused applied AI requires regulatory and domain knowledge, moderately limiting cross-industry transferability.
Explicit years, mandatory AI/analytics experience, Python/SQL requirements, and regulated banking controls increase strictness.
Build, test, and document AI/ML, advanced analytics, and GenAI solution components under senior guidance to support progression from experimentation to implementation.
Execute evaluation plans including testing, quality checks, and validation for AI and analytics solutions, maintaining thorough technical documentation and evidence for governance.
Use enterprise AI platforms adhering to governance and security protocols; contribute reusable code and knowledge to improve team efficiency and practices.
Bachelor's degree with 4 years experience in data management, IT, financial services, risk management, or related discipline with AI/advanced analytics delivery; OR High School diploma/GED with 8 years relevant experience.
Proficiency in Python and SQL, familiarity with data science, ML or GenAI libraries, notebook environments, and software development best practices such as version control.
Experience with data preparation, model evaluation, test design, documentation, and monitoring; experience in enterprise data or cloud environments is beneficial.
Work Experience Required: Bachelor's degree plus 4 years or High School diploma plus 8 years with relevant AI/analytics delivery experience.
Practitioner at an early to mid-career level (P4) showing reliable, high-quality execution with growing technical independence under senior mentorship.
Ability to collaborate effectively in a distributed global team communicating technical details clearly, supporting smooth global handoffs and integration.
Strong interest and intellectual honesty in selecting AI/ML/GenAI methods driven by practical problem requirements rather than novelty, with attention to detail and structured problem solving.