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Job Overview Job DescriptionThe 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 aroundreal-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 ofreal-time insightsfrom 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 resilientreal-time data pipelinesusing technologies such as Apache Flink, Apache Spark Streaming, and Apache Kafka.Conduct feasibility studies, time and cost estimates for newreal-time 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 real-time data applications, providing operational support.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.Ensure essential procedures are followed and help define operating standards and processes for real-time data infrastructure.Serve as an advisor or coach to new or junior analysts on real-time data pipeline 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 real-time data 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 onreal-time data processing.Expertise inreal-time big data computation platformssuch as Apache Flink, Apache Spark Streaming, or Apache Beam.Extensive hands-on experience withreal-time data distribution platformslike Apache Kafka, and potentially other big data storage/querying systems (e.g., Trino, Pinot, Druid, Ignite) for low-latency access.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 interact with data streams.Solid understanding of REST API development for data reporting.Demonstrable experience in writing reusable, testable, and efficient code with proper error and exception handling, especially for fault-tolerantstreaming applications.Experience with the design and implementation of cloud-native applications and deployment via Kubernetes / OpenShift, specifically for managingreal-time data workloads.Hands-on experience in handling various data structures and optimizing them forstreaming analytics.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.Good understanding of data modeling, partitioning, and sharing of huge data sets for optimal performance instream processing environments.Software Engineering Skills:Experience working on a Continuous Integration and Continuous Delivery (CI/CD) environment, with a focus on rapid and reliable deployment ofreal-time data pipelines. 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) forstreaming applications.Strong experience with standard CI tools (Jenkins, TeamCity, SonarQube, Git).Business Facing and Interpersonal Skills:Strong communication skills, oral and written, essential for explaining complexreal-time data architecturesand solutions to business stakeholders.Ability to apply sound technical skills and knowledge of fixed income business to develop creativereal-time data solutionsto meet client and business needs.Responsible, agile, and collaborative team worker, crucial for cross-functional real-time 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 theirreal-time data 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 applyreal-time data insights.------------------------------------------------------
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
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