VibeCodeCareers 
Hybrid role in Chennai, India for a senior-level developer at Citigroup. The company focuses on credit risk technology, and this role involves building scalable platforms for credit risk management using Python and SQL.
Skills / Requirements
- AI Fluency
- AI Governance
- Credit Risk
- Distributed Systems
- Django
- Docker
- FastAPI
- Financial Risk Management
- GenAI
- Kubernetes
- Linux
- Microservices
- Prompt Engineering
- Pydantic
- Python
- SQL
- System Architecture
- TDD
- Vibe Coding
Why Apply
This role is ideal for developers who leverage AI tools to enhance credit risk platforms. You'll use AI and GenAI capabilities to modernize workflows and automate analysis, integrating AI into credit risk systems.
What You'll Be Doing
Design and develop Python-based applications for credit risk analytics, ensuring scalability and compliance. Collaborate with risk and technology teams to integrate systems and apply AI to enhance credit risk insights.
Working in Chennai, India
- Chennai is a major tech hub in India, offering numerous opportunities in IT and finance sectors.
- The city boasts a well-connected public transportation system, making commuting manageable.
- Chennai offers a relatively lower cost of living compared to other Indian metros like Mumbai and Bangalore.
- Known for its cultural heritage, Chennai provides a rich lifestyle with a mix of traditional and modern amenities.
Pay and Career Growth
The role offers the chance to lead technical projects and mentor mid-level engineers, indicating a pathway to leadership. Citigroup's global presence provides opportunities for career advancement within a major financial institution.
Benefits and Perks
- 401k
- competitive salary
- Equity
- Health Insurance
- Paid Time Off
- Professional Development
Is This Role Right for You?
Good fit if you...
- Experienced in Python and SQL with a focus on scalable application development.
- Comfortable with AI tools and integrating them into existing systems for automation.
- Strong leadership skills with experience in mentoring and guiding technical teams.
May not be for you if...
- Lacks experience in credit risk or financial technology environments.
- Unfamiliar with AI-assisted coding practices or modern AI platforms.
- Prefers working in non-regulated or small-scale environments.
Original Job Description
Job Description
Discover Your Future in Credit Risk Technology
Build systems that shape credit decisions—at scale.
Join a fast‑moving Credit Risk Technology team where modern engineering, data, and AI come together to drive real‑world financial impact. We operate with a startup mindset—ownership, speed, and experimentation—within the rigor and responsibility of a global financial institution. You’ll help design and deliver mission‑critical platforms that support credit risk assessment, analytics, and decisioning across the firm.
Job Overview
The Credit Risk Applications Technology Lead Analyst is a senior engineering leadership role focused on building and evolving modern, scalable platforms for credit risk management. You will lead application design and development while partnering closely with risk, data, and platform teams to deliver systems that are performant, resilient, and compliant.
This role blends hands‑on development, system architecture, technical leadership, and AI‑enabled innovation , with a strong emphasis on microservices, cloud‑native design, and enterprise‑grade governance.
Key Responsibilities
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.
How You’ll Work
Operate with a startup mindset : ownership, bias for action, and pragmatic innovation.
Deliver with enterprise discipline : stability, controls, transparency, and audit readiness.
Balance experimentation with responsibility in a high‑trust, high‑impact environment .
Adapt quickly as priorities change while maintaining long‑term system integrity.
Core Technical Skills
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.
AI & Modern Engineering Tools
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.
Bonus / Differentiating Skills
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.
Education
Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related STEM field .
Master’s degree preferred.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm) .
View Citi’s EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy) and the Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) poster.
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
