Our client, one of world’s largest financial services institutions is looking for:
Associate Product Manager
Responsibilities:
- Work closely with senior product managers and product owners to define the product vision, roadmap, and requirements for AI Industrialisation Tooling
- Capture the requirements as user stories with clearly defined success metrics and acceptance criteria
- Participate in key agile rituals (e.g., daily stand-up, backlog refinement, sprint planning, sprint review, etc.,) and work closely with ML engineers and product developers to ensure that requirements are clearly understood by the developers
- Track the product development progress and identify any potential risk and issues
- Lead and conduct product UAT
- Engage the analytics community and key stakeholders from different BU/SUs to understand their requirements and priorities to ensure the product delivered under AI Industrialisation meet the real needs
Requirements:
- Bachelor / Masters Degree in in Computer Science, Business Analytics, Statistics, Engineering or related fields
- Proficient with Python/PySpark and SQL
- Demonstrated experience of applying data science and machine learning methods to real-world data problems
- Familiar with both AI/ML lifecycle (e.g., CRISP-DM) and Analytics software development lifecycle
- Familiar with popular data science workbench and tools (e.g. Cloudera Data Science Workbench, Amazon SageMaker, DataRobot, Dataiku, etc.)
- Highly effective cross-functional team communication and collaboration
-------------------------------------------------------------------------------------------------------
Interested applicants can also email CV at [email protected] (for faster processing, please state the exact job/position title applied “Associate Product Manager”)
Only shortlisted candidates will be notified.
-------------------------------------------------------------------------------------------------------
EA License Number: 10C3636
EA Personnel Name: Vimmi Baunthiyal
EA Personnel Registration Number: R1543982