System Analyst (AI/ML)

• 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.