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Using leading-edge technologies, you will be developing quality and scalable software solutions used to monitor trade, voice and e-communication activity to identify potential market abuse, insider dealing and other types of fraud. As part of our Agile teams you will write quality code that meets the requirements of the user stories, will support during testing cycles, sprint retrospectives and post-production deployment. To ensure defect-free programming, you will use the appropriate tools to test and debug code and participate in the review of peer coding.
Job Responsibility:
Developing applications in Java and various BigData Technologies like Spark and PySpark
Utilising software development tools like: JIRA, BitBucket, Artifactory, OpenShift(ECS/Docker) and continuous integration/continuous Delivery (CI/CD) pipelines
Gain experience in developing high quality surveillance applications making use of feature-based surveillance algorithms
Work on various SQL and NoSQL databases - Oracle, HDFS etc. handling various data use cases
Work on latest design and software architecture patterns and frameworks - Microservices, APIs, Spring
Gain exposure to Containers using Docker/Kubernetes and Cloud infrastructure, Cloud technologies (PAAS, IAAS, SAAS)
Working with machine learning and AI
Work on latest User Interface technologies in collaboration with our UX team
Requirements:
Right to live and work in the United Kingdom
Have been on a career break for 2+ years
Demonstrate motivation for joining both the programme and Citi
Interested in technology and innovation
Attention to detail, organising and planning abilities
Appetite to learn new skills
Enthusiastic team worker who will contribute confidently in a team environment
What we offer:
Award winning pension
On-site health services
Private medical insurance packages to suit your personal circumstances
Paid parental leave
Generous holiday allowance starting at 27 Days plus bank holidays
increasing with tenure
Diversity and inclusivity initiatives through Pride, Disability, Multicultural, Families Matter, and Women affinity networks
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