1 day ago
Chennai, IndiaStaff+
Responsibilities
- Architect, design, and deliver scalable Python-based applications for credit risk analytics, workflows, reporting, and decisioning.
- Partner with risk, product, data, and technology leadership to integrate platforms and enable enhancements and new products.
- Analyze complex business processes, system flows, and industry standards to resolve high-impact initiatives.
- Design and evolve microservices architectures with scalability, resiliency, observability, and maintainability.
- Establish and enforce standards for coding, testing, CI/CD, debugging, and production readiness.
- Apply AI and GenAI capabilities, including LLM-enabled solutions, to modernize workflows and automate analysis.
- Ensure solutions comply with enterprise architecture, data, security, infrastructure, legal, regulatory, and policy requirements.
- Mentor mid-level engineers and analysts and allocate work as needed.
- Operate and deliver with ownership, speed, experimentation, stability, controls, transparency, and audit readiness.
Requirements
- 10–15 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.
- Expertise designing and implementing microservices, including service decomposition, inter-service communication, resiliency patterns, and observability.
- Strong experience with Docker and Kubernetes in production environments.
- Deep understanding of system architecture, data flows, and distributed systems.
- Experience working in Linux environments, including shell scripting and operational troubleshooting.
- Experience implementing unit testing, TDD, and automated quality controls.
- Subject Matter Expert experience in at least one application, platform, or service domain.
- Working knowledge of LLMs and modern AI platforms from providers such as OpenAI, Anthropic, Google, and Meta.
- Experience designing or contributing to LLM-enabled solutions and familiarity with prompt engineering, model integration, and enterprise AI governance.
- Bachelor’s degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related STEM field.
- Preferred qualifications include a master’s degree, experience with Spark, PySpark, Hadoop, Hive, Neo4j, credit risk or banking platforms, legacy modernization, and regulated GenAI delivery.
Benefits
- Full-time role within Citi’s Credit Risk Technology Applications Development organization.
- The posting describes a startup-minded, high-trust, high-impact environment within a global financial institution.
- Equal opportunity employment and reasonable accommodation support are provided.
Tech Stack
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About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.