Senior Python & SQL Application Developer - Assistant Vice President

• Architect, design, and deliver scalable, Python‑based applications supporting credit risk analytics, workflows, and reporting
• Partner with risk, product, and technology leadership to integrate platforms, identify enhancements, and enable new products and process improvements
• Resolve high‑impact, complex initiatives through deep analysis of business processes, system flows, and industry standards
• Ensure solutions adhere to enterprise architecture, data, security, and infrastructure blueprints
• Establish and enforce engineering standards for coding, testing, CI/CD, debugging, and production readiness
• Design and evolve microservices‑based architectures, ensuring scalability, resiliency, observability, and maintainability
• Apply AI and GenAI capabilities to modernize workflows, automate analysis, and unlock new insights in credit risk
• Serve as technical leader and mentor, coaching mid‑level engineers and analysts and allocating work as needed
• Apply sound risk and control judgment, ensuring compliance with laws, regulations, and policies while safeguarding clients, data, and the firm.

• 5–10 years of experience in application development or systems engineering within complex environments
• Advanced proficiency in Python and SQL, with strong software engineering fundamentals
• Hands‑on experience building API‑driven services using FastAPI, Pydantic, and/or Django
• Proven expertise designing and implementing microservices architectures, including service decomposition, inter‑service communication, resiliency patterns, and observability
• Strong experience with Docker and Kubernetes, deploying and operating containerized services in production
• Deep understanding of system architecture, data flows, and distributed systems
• Experience working in Linux environments, including shell scripting and operational troubleshooting
• Strong track record implementing unit testing, TDD, and automated quality controls
• Subject Matter Expert (SME) in at least one application, platform, or service domain
• Working knowledge of large language models (LLMs) and modern AI platforms from leading providers such as OpenAI, Anthropic, Google, and Meta
• Experience designing or contributing to LLM‑enabled solutions (e.g., copilots, workflow automation, analytics augmentation)
• Familiarity with prompt engineering, model integration patterns, and AI governance considerations in enterprise environments
• Exposure to modern “vibe coding” practices—leveraging AI‑assisted tooling to accelerate development, experimentation, and problem solving while maintaining engineering rigor
• Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related STEM field.

• Experience with distributed data and compute platforms (e.g., Spark, PySpark, Hadoop, Hive)
• Hands‑on experience with graph databases, particularly Neo4j, for network, relationship, or dependency‑driven use cases
• Background in credit risk, financial risk management, or banking platforms
• Experience modernizing or decomposing legacy monolithic systems in large enterprises
• Proven delivery of GenAI / AI‑driven solutions in regulated or large‑scale environments
• Master’s degree preferred.

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