Full Stack Developer
Working at Citi is far more than just a job.
Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
We are seeking a senior technical leader specializing in building high-performance, interactive data visualization platforms and enterprise reporting engines. This is an expert-level role focused on creating advanced, web-based analytical applications that combine rich, interactive frontends with highly optimized, data-intensive backends and distributed query engines. A mandatory and critical secondary focus of this role is the design and creation of custom Model Context Protocol (MCP) tools. You will build the bridge between LLMs/AI agents and our enterprise data layers, including Starburst, enabling AI to autonomously and securely query, analyze, and report on massive datasets.
Core Responsibilities
You will own the end-to-end design and delivery of sophisticated FinTech tools used directly by investment bankers, front-office traders, and financial analysts. This requires translating complex financial workflows into intuitive, high-fidelity web interfaces. Your primary focus will be on architecting and building highly interactive, web-based analytical dashboards using Angular and React, allowing users to slice, dice, and explore massive datasets in real-time.
A key function is leveraging Starburst (Trino) to query massive, distributed datasets with sub-second latency. You will design and implement robust backend microservices (Java/Spring Boot) optimized for low-latency data retrieval, heavy aggregation, and streaming large datasets to the frontend. Furthermore, you will be responsible for designing and optimizing scalable ETL processes to manage huge volumes of financial data.
A mandatory responsibility is to design, build, and maintain custom Model Context Protocol (MCP) servers and tools. This enables AI agents and LLMs to securely interface with internal databases, APIs, and reporting engines. You will also architect enterprise-grade document generation engines using the Aspose suite to programmatically create high-fidelity financial reports from complex templates.
As a hands-on player/coach, you will deliver complex data visualizations and reporting engines while mentoring junior engineers. This includes critically reviewing and taking ownership of all AI-generated code (Java, Angular, React, SQL) to ensure structural integrity, security compliance, and production readiness, while applying a deep functional understanding of Corporate and Investment Banking (CIB) to all projects.
Key Qualifications
Required Skills & Experience:
Posted July 24, 2026