\\\\Fixed Income (FI)\\\\ \\\\is the primary source of capital for corporations, governments, and nonprofits, providing liquidity and innovative solutions globally across the credit, municipal, and securitized markets.\\\\ \\\\FIs activities include origination, structuring, investing, lending, and market making and it offers a variety of products including, but not limited to, corporate bonds, emerging markets bonds, asset backed securities, mortgage backed securities, collateralized loan obligations (CLOs), municipal securities, agency securities, short term interest rate products, loans, letters of credit, and derivative instruments, such as interest rate swaps, total return swaps, rate locks, and credit default swaps.\\\\ \\\\The Fixed Income Data Platform Team is the backbone of Fixed Income mission, providing the low latency, high concurrency, scalability, and availability needed to power our groundbreaking\\\\ \\\\solutions.\\\\ \\\\Our Data Platform Engineering team is on the cutting edge. We research, adapt, and deploy the latest open-source data platforms to meet Citi's unique needs. We're a collaborative group that thrives on technical challenges and the satisfaction of building highly performant systems.\\\\ \\\\We're seeking a passionate and highly skilled senior Python developer to join our talented team of engineers in building and maintaining Citi's next-generation data platform targeted for quantitative scientists and traders to quickly iterate on and put into production analytical and trading tools.\\\\ \\\\Key Responsibilities:\\\\ \\\\Analyzes system requirements, including identifying program interactions and appropriate interfaces between impacted components and sub systems\\\\ \\\\Participate in Sprint Planning, Tasking and Estimation of the assigned work for Python platform\\\\ \\\\Participate in component and service design for Python analytical services\\\\ \\\\Work on bug resolution and application improvements, such as performance and maintainability\\\\ \\\\May occasionally work a non-standard shift including nights and/or weekends and/or have on-call responsibilities\\\\ \\\\Stay abreast with new trends in open source tooling and champion tools that could help improve efficiency of the Fixed Income quant and data science community\\\\ \\\\Work closely with quants and data scientists to help them use platform capabilities and develop efficient analytical tools\\\\ \\\\Continuously look to automate manual touchpoints in the technology delivery pipeline\\\\ \\\\Required Skills / Experience:\\\\ \\\\5 years+ of hands-on experience in building an enterprise scale highly componentized application using Python incl. web frameworks like Django or Flask and data science tools - Pandas, Polars, Streamlit, Airflow\\\\ \\\\Experience with Docker and Kubernetes/Openshift\\\\ \\\\Experience with Python LLM tools (OpenAI, Vertex, Langchain) is a plus\\\\ \\\\Experience with DevOps technologies - Ansible, Chef is a plus\\\\ \\\\Experience working in a Continuous Integration and Continuous Delivery environment and familiar with Jenkins, TeamCity, Code Quality Tools - SonarQube, etc.\\\\ \\\\Proficient in industry standard best practices such as Design Patters, Coding Standards, Coding modularity, Prototypes etc.\\\\ \\\\Unit testing frameworks - PyTest\\\\ \\\\Understanding of the SDLC lifecycle for Agile & Waterfall methodologies\\\\ \\\\Excellent written and oral communication skills\\\\ \\\\Education:\\\\ \\\\Bachelors degree/University degree or equivalent experience\\\\ \\\\Masters degree preferred\\\\ \-\-\---------------------------------------------------- \\\\Job Family Group:\\\\ Technology \-\-\---------------------------------------------------- \\\\Job Family:\\\\ Applications Development \-\-\---------------------------------------------------- \\\\Time Type:\\\\ Full time \-\-\---------------------------------------------------- \\\\Primary Location Full Time Salary Range:\\\\ $94,300.00 - $141,500.00 \-\-\---------------------------------------------------- \\\\Most Relevant Skills\\\\ Please see the requirements listed above. \-\-\---------------------------------------------------- \\\\Other Relevant Skills\\\\ For complementary skills, please see above and/or contact the recruiter. \-\-\---------------------------------------------------- \\\\Automated Processing and AI\\\\ We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. \-\-\---------------------------------------------------- \This job opening is for an existing job vacancy.\\ \-\-\---------------------------------------------------- \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 ()\\\.\\ \View Citis\\\EEO Policy Statement ()\\\and the\\\Know Your Rights ()\\\poster.\\ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

The role requires a minimum of five years of hands-on experience in building enterprise-scale, highly componentized applications using Python. This includes experience with web frameworks such as Django or Flask, and data science tools like Pandas, Polars, Streamlit, and Airflow. Familiarity with Docker and Kubernetes/Openshift is also necessary. Experience with DevOps technologies such as Ansible and Chef, and working in a Continuous Integration and Continuous Delivery environment with tools like Jenkins and TeamCity, is expected. Proficiency in industry best practices, including design patterns, coding standards, and modularity, is important, as is experience with unit testing frameworks like PyTest. A Bachelor's degree or equivalent experience is required, with a Master's degree being preferred.