Company: Citi
Country: Worldwide
Salary: $95,770 - $133,630
Type: Remote
Employment: Full Time
Description:
261002498 New York, New York, United States Hybrid Oct. 16, 2026 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. Citi Spread Products (SP) technology is seeking a highly motivated junior level candidate for Python and Full Stack/Web development team that serves Financing and Securitization (F&S) business. We are looking for a talented professional with a solid technical acumen to support, design and deliver innovative technology solution for the front office Citi Capital Markets. The candidate will be a core member of the technology team and is responsible for designing, coding, testing, implementing, and supporting application projects, delivering them on time and within budget. The candidate handles complex problems independently and demonstrates analytical thinking. The candidate should be able to make judgments and recommendations based on the analysis and interpretation of data. Excellent opportunity to immerse in and learn within the SP F&S Division and gain exposure to technology initiatives targeted to maintain lead position among its competitors. Key Responsibilities · Design, code, test, and maintain robust Python backend microservices/APIs and responsive web frontends (e.g., React, TypeScript, Angular) supporting the F&S front-office business. · Support Business Users on existing applications · Partner with trading, structuring, and quantitative teams to deliver technology solutions on time, adhering to capital markets quality and compliance standards. · Leverage enterprise AI development tools (e.g., GitHub Copilot, internal LLM platforms) for rapid prototyping, automated unit test generation, code refactoring, and technical documentation. · Develop database queries, data ingestion pipelines, and analytical calculations for financial pricing, cash flows, and securitization workflows. · Participate in agile sprints, code reviews, and automated CI/CD build and deployment pipelines (e.g., Git, containerization). · Independently investigate, troubleshoot, and resolve application bugs, performance bottlenecks, and operational issues. Required Skills/Experiences: · Bachelor’s degree in computer science, Computer Engineering, Financial Engineering, Information Systems, Mathematics, or a related quantitative STEM discipline. · Hands on experience in coding in Python · Experience in python packaging and shared libraries like Pandas, NumPy · Experience implementing rest APIs in Python using Microframework like Flask · Proficiency in relational database concepts (e.g., PostgreSQL, Oracle, SQL Server) and writing structured SQL queries. · Hands-on experience utilizing Generative AI tools (e.g., Copilot, LLM coding assistants) to accelerate coding, debugging, and test generation, coupled with the ability to critically review and validate AI outputs for accuracy and security. · Solid understanding of Git workflows (branching, pull requests, merge conflict resolution) and modern agile software development practices. Nice to have: · Basic understanding or interest in capital markets, fixed income, bond mathematics, mortgages, or structured/securitized products. · Exposure to containerization technologies (Docker, OpenShift, Kubernetes) or cloud development. ------------------------------------------------------ ------------------------------------------------------ ------------------------------------------------------ ------------------------------------------------------ ------------------------------------------------------Python Developer
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Job Overview
Job Family Group:
TechnologyJob Family:
Applications DevelopmentTime Type:
Full timePrimary Location:
New York New York United StatesPrimary Location Full Time Salary Range:
$95,770.00 - $133,630.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incenti
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