- 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…)
- 5-8 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 organised, 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
- Strong academic record, ideally with a Bachelors or Masters degree in Computer Science, or related technical/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.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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