Senior Java Developer Fixed Income Data

Location: Mississauga, Ontario, Canada

Employment Type: Regular

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 API-driven data access, large-scale data 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 actionable 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.

Responsibilities:

• Design, develop, and implement highly scalable and resilient API services for data access and processing, leveraging big data platforms.
• Conduct feasibility studies, time and cost estimates for new API-driven data solutions and establish and implement new or revised applications and systems to meet specific business needs or user areas.
• Monitor and control all phases of the development process (analysis, design, construction, testing, and deployment) for API-driven data applications, providing operational support.
• Utilize in-depth specialty knowledge of API development for big data environments and analytics to analyze complex problems/issues, evaluate business processes, system processes, and industry standards, and make evaluative judgments.
• Ensure essential procedures are followed and help define operating standards and processes for API-driven data infrastructure.
• Serve as an advisor or coach to new or junior analysts on API development and big data access best practices.
• Operate with a limited level of direct supervision, exercising independence of judgment and autonomy.
• Act as a Subject Matter Expert (SME) to senior stakeholders and/or other team members on data API technologies and their application in finance.

Knowledge/Experience:

Technical Skills:

• 3-5 years of demonstrable and relevant experience in software development, with a strong focus on API development and big data solutions.
• Expertise in developing high-performance APIs for large-scale data platforms and distributed systems.
• Extensive hands-on experience with data distribution platforms like Apache Kafka, and various big data storage/querying systems (e.g., Trino, Pinot, Druid, Ignite) for low-latency access via APIs.
• Solid understanding of Java / Scala with a focus on building high-performance, concurrent applications.
• Strong experience with the Spring stack, particularly Spring Boot for building microservices that expose data via APIs.
• Expert-level understanding and demonstrable experience in REST API development for data reporting and consumption.
• Demonstrable experience in writing reusable, testable, and efficient code with proper error and exception handling, especially for fault-tolerant API services.
• Experience with the design and implementation of cloud-native applications and deployment via Kubernetes / OpenShift, specifically for managing API-driven data services.
• Hands-on experience in handling various data structures and optimizing them for API consumption and analytical queries.
• Experience with API Gateway, Circuit Breaker, Spring Security, Discovery Server, and monitoring services (e.g., Prometheus, Grafana) is a plus, particularly in an API-driven data ecosystem.
• Good understanding of data modeling, partitioning, and sharing of huge data sets for optimal performance in large-scale data platforms accessed via APIs.

Software Engineering Skills:

• Experience working on a Continuous Integration and Continuous Delivery (CI/CD) environment, with a focus on rapid and reliable deployment of API services and data access layers. Familiarity with TeamCity, SonarQube, and Jenkins.
• Experience with the SDLC lifecycle and in working within an Agile environment, adapting to fast-paced data requirements.
• Demonstrable understanding and experience of engineering best practices: design patterns, coding standards, code review, and robust unit/integration testing (e.g., JUnit, Mockito) for API services.
• Strong experience with standard CI tools (Jenkins, TeamCity, SonarQube, Git).

Business Facing and Interpersonal Skills:

• Strong communication skills, oral and written, essential for explaining complex API-driven data architectures and solutions to business stakeholders.
• Ability to apply sound technical skills and knowledge of fixed income business to develop creative API-driven data solutions to meet client and business needs.
• Responsible, agile, and collaborative team worker, crucial for cross-functional API and data projects.
• Ability to develop strong relationships with others, effectively influencing peers and business partners.
• Self-motivated and organized, with determination to achieve goals; ability to work autonomously when required in a fast-paced environment.
• Ability to face off to all business users (traders, financial controllers, risk managers, etc.) to understand their data access and API needs.
• Flexible and able to deliver quality results in the required timeframe.
• Flexibility to work with a global team, across geographies and time zones.

Qualifications / Education:

• Strong academic record, ideally with a bachelor's or master's degree in computer science, or related technical/quantitative discipline.
• Ideally, an understanding of financial derivatives (fixed income products) or willingness to learn about this area to effectively apply API-driven data insights.

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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.

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This job opening is for an existing job vacancy.

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