Responsibilities:

Translate business and technical needs into user stories and functional designs using AI tools (e.g., Rovo) Design data flows and processes for P&L systems, ensuring business value Collaborate with engineers, leveraging AI tools (Copilot, Devin, Windsurf) to support design, build, and validation Review and guide AI-generated solutions with senior developers Own end-to-end delivery in Agile (backlog, sprints, documentation in Jira/Confluence) Ensure strong end-to-end solution quality, defining test approach Handle production issues, including incident triage and root cause analysis.

Requirements:

Degree in Computer Science, Engineering, or similar 5+ years in business analysis or techno-functional roles in financial services Strong understanding of data modeling and process design for financial applications, especially financial derivatives/P&L High level in SQL, and experience with data analysis / ETL Experience with AI-assisted development tools (or strong willingness to learn) Experience translating requirements into functional designs and data models Ability to read and review code (Python or similar) Strong analytical skills and attention to data quality Strong communication skills in English and ability to work with cross-functional agile teams (SCRUM) Experience in production support and issue resolution