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The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.
Job Responsibility:
Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Requirements:
6-10 years of relevant experience in Apps Development or systems analysis role
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
10+ yrs hands on experience in Java development
Working experience in designing systems with Low Latency Streaming Architectures
Spark
Spring Boot
Kafka (ELK)
Flink or any real-time streaming framework experience
Working Knowledge of NoSQL, Kafka, Big Data, MongoDB
Hands-on experience on Hadoop, Big Data, Spark SQL, Hive/Impala
Experience in delivering Regulatory ask like in extremely compressed timelines
Experience is JMS and Real time message processing on TIBCO
Experience using Jira, Bit Bucket and managing development/testing/release efforts
Experience using XML, FIX, POJO, JSON message format
Experience with Impala, Elastic & Oracle
Working knowledge on AWS-ECS- Exp on Code Build/Code Pipeline for CI/CD & CloudWatch for logging/Monitoring
Hands on Amazon Simple Storage Service (S3)
Added advantage of having hands-on experience with AI/ML technologies, including Python, Predictive Modeling, Natural Language Processing, Machine Learning Algorithms, and general data structure modules
Good to have knowledge on Order and Executions and Trade Life Cycle Events & knowledge to work with message formats like FPML and ISO20022
Ability to lead a team from the front and guide them through time sensitive milestones
Focus on leveraging regulatory delivery as a driver for the firm’s data strategy
Very good communication and interpersonal skills
Excellent relationships with senior tech, business and compliance partners
Experience with delivery expertise for large scale programs
Ability to align delivery with firm’s long-term strategy
Quick decision maker with the ability to take a grasp of the situation in case of an issue and mitigate the impact
Nice to have:
Good to have knowledge on Order and Executions and Trade Life Cycle Events & knowledge to work with message formats like FPML and ISO20022
Added advantage of having hands-on experience with AI/ML technologies, including Python, Predictive Modeling, Natural Language Processing, Machine Learning Algorithms, and general data structure modules
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