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The Rates Data Services Technology Team is responsible for the management and efficient delivery of trade and market data to front office users (e.g. trading) and Risk and Pricing applications. In order to achieve our mission, we maintain and enhance a data stack built around data streaming and distribution technologies as well as microservices. We handle large data volumes on a daily basis and work closely with the business.
Job Responsibility:
Design and develop critical data applications to support trading and risk management for a Tier 1 bank
Collaborate with business partners and other technology teams in the Rates and wider Markets businesses
Promote and follow engineering best practices
Apply an engineering mind-set to development work: understand use-cases in detail, develop metrics to build good estimates of volume and compute velocity requirements, understand and discuss openly any implementation limitations or workaround
Evaluate and build POCs for new strategic initiatives and work to convert to enterprise solutions
Ability to take initiative to research, learn and recommend emerging technologies
Provide post release assistance to business, development, and support groups
Develop application as per best practice and remain compliant with prescribed best practices (TDD, maintain high unit test coverage, CI…)
Requirements:
At least 8 years’ demonstrable and relevant SLDC experience
Solid understanding of Java / Spring stack development
Solid understanding of C#, .Net Core 3.* + (VS 2017 or above)
Strong understanding of Python 3.6 or above, python frameworks and libraries, including Pytest, Pandas, Flask, and Kafka
Solid understanding of REST API development
Demonstrable experience in writing reusable, testable and efficient code with proper error and exception handling
Experience with design and implementation of cloud-ready applications and deployment via Kubernetes / Openshift
Experience with big data computation platforms (Flink, Spark, Apache Beam) or big data distribution platforms (Hadoop, Gemfire, Ignite)
Hands-on experience in handling various data structures
Good understanding of Data modeling, partitioning and sharing of huge data sets
Experience working on a Continuous Integration and Continuous Delivery environment
Familiarity with TeamCity, Sonarqube and Jenkins
Experience with the SDLC lifecycle and in working within an Agile environment
Demonstrable understanding and experience of engineering best practices: design patterns, coding standard, code review, unit testing via Mockito and Junit
Understanding of Agile software development methodology and strong experience with standard CI tools (Jenkins, TeamCity, Sonarqube, git)
Strong communication skills, oral and written
Ability to apply sound technical skills and knowledge of the Rates business to develop creative solutions to meet client and business needs
Responsible, agile and collaborative team worker
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
Ability to face off to all business users (traders, financial controllers, risk managers, etc.)
Flexible and able to deliver quality results in the required timeframe
Flexibility to work with a global team, across geographies and time zones
Bachelors or Masters degree in Computer Science, or related technical and quantitative discipline
Demonstrable success in designing and delivering multi-tiered applications
Ideally, an understanding of financial derivatives (rates or other) or willing to learn about this area
Nice to have:
Solid understanding of C#, .Net Core 3.* + (VS 2017 or above)
Strong understanding of Python 3.6 or above, python frameworks and libraries, including Pytest, Pandas, Flask, and Kafka
Ideally, an understanding of financial derivatives (rates or other) or willing to learn about this area
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