Work as System Analyst in the field of IT Application development, maintenance, delivery and IT infrastructure setup
Apply both classic (waterfall) and Agile (Scrum) methodologies in project execution
Understand user/stakeholder requirements and formulate technical design documents
Co-ordinate with vendor on specifications, delivery testing, and implementation
Implementation of middle and back-office systems for Group Retail (PB)
Manage end to end testing for users with vendor to internal client systems
Work with internal Change Control Management for deployment of changes
Work with internal infrastructure and security teams on implementations
Co-ordinate with Vendor and Infrastructure teams on Infra related changes, upgrades, patches and provide onsite support for Infra Projects/CRs
Working with DevOps team to migrate the application into DevOps
Benefits
Around 7 years working experience, with at least 6 years in software development, business analysis, system analysis and project/change implementation experience in the financial industry, direct exposure in AI/ML related projects
Experience in Analyzing & Implementing banking application across entity
Excellent written, verbal communication & presentation skills
Strategic and analytical thinking with excellent problem-solving skills
Experience in upgrading/migrating end of life platform to the latest technology platform
Experience in working on data centre for Infra Upgrade, patches & Infra related changes
Strong technical development background, experience in software development life cycle & documentation
Experience in end-to-end system implementation from pre-project to Go-Live
Experience in working with security, network, infra provisioning & architect teams
Knowledge in cloud computing and SaaS implementation
Experience in setting up of connections to the other Interface Systems, batch processing, IBM MQ
Experience in setting up applications in newly provisioned infra (e.g. OS, network, storage, agents, database, aldon, control M, monitoring tools etc.)
Migration of environment including restoration and masking of data
Good knowledge of AI/ML, model development lifecycle
