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Tier-1 brand and metro location, but senior specialization lowers applicant density.
High due to credit-risk domain specificity, regulatory constraints, and specialized ML/AI big-data expertise.
Explicit 10+ years and deep mandatory ML, big data, cloud, and leadership requirements make filtering strict.
Lead complex engineering projects involving Business Intelligence tools, Big Data, Agentic AI, and Machine Learning within the Credit Risk Technology team.
Provide technical leadership, design oversight, and hands-on development of key software components promoting scalable and intelligent systems.
Drive adoption of AI-assisted development practices, improve engineering standards, and collaborate across global teams to deliver risk management software solutions.
10+ years experience in full-stack development with strong Java/J2EE skills and Object Oriented Design principles.
Experience with Big Data technologies, cloud platforms (AWS/Azure/Google Cloud), containers (Docker, Kubernetes), and CI/CD pipelines.
Graduate degree in STEM; Master's in Data Science or AI/ML preferred but not mandatory.
Work Experience Required: 10+ years in software engineering, including leadership roles.
Senior-level engineer with expertise in scalable financial technology applications, especially in Credit Risk or similar domains.
Proven ability to lead technical teams and mentor junior staff in AI/ML and intelligent systems development.
Strong background integrating AI-assisted coding tools and deploying Machine Learning frameworks to solve complex problems in large-scale environments.