<div><h2>Job Description</h2>The Fixed Income Data team is experiencing rapid growth, committed to delivering cutting-edge data-centric solutions. Our initiatives span across critical domains including sales, risk, pricing, quants, algorithmic trading, execution, and trade processing. To fulfill this mission, we operate a sophisticated data analytics stack centered around real-time big data streaming, processing, and distribution technologies, alongside microservices. We manage immense daily data volumes, with the core objective of empowering fixed income business to sustain competitive advantage through the generation of real-time insights from these diverse datasets.A successful candidate will tackle complex technical challenges, developing best-in-class, next-generation solutions that demonstrate measurable and visible revenue impact. This is a highly rewarding and dynamic opportunity to collaborate directly with one of the most forward-thinking and successful businesses in the financial sector. You will work closely with all areas within the Rates business, solving both business and technology problems with direct, tangible impact.<h2>Responsibilities:</h2><ul><li>Design, develop, and implement highly scalable and resilient real-time data pipelines using technologies such as Apache Flink, Apache Spark Streaming, and Apache Kafka.</li><li>Conduct feasibility studies, time and cost estimates for new real-time data solutions, and establish and implement new or revised applications and systems to meet specific business needs or user areas.</li><li>Monitor and control all phases of the development process (analysis, design, construction, testing, and deployment) for real-time data applications, providing operational support.</li><li>Utilize in-depth specialty knowledge of real-time data processing and stream analytics to analyze complex problems/issues, evaluate business processes, system processes, and industry standards, and make evaluative judgments.</li><li>Ensure essential procedures are followed and help define operating standards and processes for real-time data infrastructure.</li><li>Serve as an advisor or coach to new or junior analysts on real-time data pipeline best practices.</li><li>Operate with a limited level of direct supervision, exercising independence of judgment and autonomy.</li><li>Act as a Subject Matter Expert (SME) to senior stakeholders and/or other team members on real-time data technologies and their application in finance.</li></ul><h2></h2><h2>Knowledge/Experience:</h2><h2></h2><h2>Technical Skills:</h2><ul><li>3-5 years of demonstrable and relevant experience in software development, with a strong focus on real-time data processing.</li><li>Expertise in real-time big data computation platforms such as Apache Flink, Apache Spark Streaming, or Apache Beam.</li><li>Extensive hands-on experience with real-time data distribution platforms like Apache Kafka, and potentially other big data storage/querying systems (e.g., Trino, Pinot, Druid, Ignite) for low-latency access.</li><li>Solid understanding of Java / Scala with a focus on building high-performance, concurrent applications.</li><li>Strong experience with the Spring stack, particularly Spring Boot for building microservices that interact with data streams.</li><li>Solid understanding of REST API development for data reporting.</li><li>Demonstrable experience in writing reusable, testable, and efficient code with proper error and exception handling, especially for fault-tolerant streaming applications.</li><li>Experience with the design and implementation of cloud-native applications and deployment via Kubernetes / OpenShift, specifically for managing real-time data workloads.</li><li>Hands-on experience in handling various data structures and optimizing them for streaming analytics.</li><li>Experience with API Gateway, Circuit Breaker, Spring Security, Discovery Server, and monitoring services (e.g., Prometheus, Grafana) is a plus, particularly in a real-time data ecosystem.</li><li>Good understanding of data modeling, partitioning, and sharing of huge data sets for optimal performance in stream processing environments.</li></ul><h2></h2><h2>Software Engineering Skills:</h2><ul><li>Experience working on a Continuous Integration and Continuous Delivery (CI/CD) environment, with a focus on rapid and reliable deployment of real-time data pipelines. Familiarity with TeamCity, SonarQube, and Jenkins.</li><li>Experience with the SDLC lifecycle and in working within an Agile environment, adapting to fast-paced data requirements.</li><li>Demonstrable understanding and experience of engineering best practices: design patterns, coding standards, code review, and robust unit/integration testing (e.g., JUnit, Mockito) for streaming applications.</li><li>Strong experience with standard CI tools (Jenkins, TeamCity, SonarQube, Git).</li></ul><h2></h2><h2>Business Facing and Interpersonal Skills:</h2><ul><li>Strong communication skills, oral and written, essential for explaining complex real-time data architectures and solutions to business stakeholders.</li><li>Ability to apply sound technical skills and knowledge of fixed income business to develop creative real-time data solutions to meet client and business needs.</li><li>Responsible, agile, and collaborative team worker, crucial for cross-functional real-time data projects.</li><li>Ability to develop strong relationships with others, effectively influencing peers and business partners.</li><li>Self-motivated and organized, with determination to achieve goals; ability to work autonomously when required in a fast-paced environment.</li><li>Ability to face off to all business users (traders, financial controllers, risk managers, etc.) to understand their real-time data needs.</li><li>Flexible and able to deliver quality results in the required timeframe.</li><li>Flexibility to work with a global team, across geographies and time zones.</li></ul><h2></h2><h2>Qualifications / Education:</h2><ul><li>Strong academic record, ideally with a bachelors or masters degree in computer science, or related technical/quantitative discipline.</li><li>Ideally, an understanding of financial derivatives (fixed income products) or willingness to learn about this area to effectively apply real-time data insights.</li></ul></div>------------------------------------------------------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.------------------------------------------------------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 <a href="https://www.citigroup.com/citi/accessibility/application-accessibility.htm" target="_blank">Accessibility at Citi</a>. View Citi’s <a href="https://www.citigroup.com/global/eeo-aa-policy" target="_blank">EEO Policy Statement</a> and the <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank">Know Your Rights</a> poster.