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The FX Data Analytics & AI Technology team, within Citi's FX Technology organization, seeks a highly motivated Full Stack Data Scientist / Data Engineer. The FX Data Analytics & Gen AI Technology team provides data, analytics, and tools to Citi FX sales and trading globally and is responsible for defining and executing the overall data strategy for FX. The successful candidate will be responsible for developing and implementing data-driven models, and engineering robust data and analytics pipelines, to unlock actionable insights from our vast amount of global FX data. The role will be instrumental in executing the overall data strategy for FX and will benefit from close interaction with a wide range of stakeholders across sales, trading, and technology. We are looking for a proactive individual with a practical and pragmatic attitude, ability to build consensus, and work both collaboratively and independently in a dynamic environment.
Job Responsibility:
Closely work with FX desks in understanding the requirements and translating into simple and efficient design
Close interaction with Traders and Quants to understand new requirements for applications across the platform
Design, Development, Testing of new features in the applications
Continual improvement of the software development lifecycle and quality of the product
Help deliver large scale projects through hands-on development and technical leadership
3rd line support of the production system (dedicated 24h support teams handle 1st / 2nd line)
Mentoring junior members of the team
Requirements:
In depth commercial development experience with dominant experience on Client and Server-side applications
Proven experience in writing and supporting high performing applications with expertise in Multithreading, Async communication, Reactive Extensions
Java with strong exp – spring boot, Microservices, SQL Database
Openshift, Kubernetes – working knowledge
Experience with desktop containers including Chromium, Electron
Experience with continuous integration and continuous deployment tools like Jenkins or TeamCity
Self-starting individual with experience of working in a desk facing role
Exposure to Agile Methodologies like scrum, Kanban and techniques like TD
Nice to have:
Exposure to profiling application
Experience working with different database and messaging technologies such as SQL, KDB, MongoDB, Kafka, etc.
Familiarity with data visualization and ideally development of analytical dashboards using Python and BI tools
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