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This role is for a Lead Python Developer on Fixed Income Data team, responsible for monetizing data generated by Citi's fixed income business and building tools/services that provide actionable insights with direct impact on revenue. The team delivers state-of-the-art data solutions across areas such as sales, risk, pricing, and algorithmic trading, using a big data streaming and distribution technology stack.
Job Responsibility:
design and develop high performance green-field data analytics products for a Tier 1 bank
collaborate with business partners on the trading floor to create technical solutions with a competitive advantage
part of an innovative team pushing boundaries to create cutting edge data visualization solutions
promote and follow engineering best practices
apply an engineering mind-set to development work: understand use-cases in details, 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:
6+ years demonstrable and relevant experience
strong understanding of Python 3.6 or above
knowledge of 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, Druid, Pinot, Trino, Ignite)
hands-on experience in handling various data structures
understanding of threading model of Python, and multi-processor architecture
knowledge of python microservice development using FAST API and streaming technology Faust is big plus
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.)
flexibility to work with a global team, across geographies and time zones.
Nice to have:
knowledge of python microservice development using FAST API and streaming technology Faust
understanding of financial derivatives (rates or other) or willing to learn about this area.
What we offer:
equal opportunity employer
accessible workplace for persons with disabilities.
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