Description

You own the definition and execution of product roadmaps for AI tooling and data integration, driving products from concept to launch. This role is hybrid.

Responsibilities

• Translate business needs and product strategy into detailed requirements and user stories.
• Design and implement data connectors for seamless access to internal and external financial datasets.
• Partner with data engineering to ensure reliable data ingestion, transformation, and availability for analytics.
• Evaluate and onboard new data sources, ensuring accuracy, consistency, and completeness of financial data.
• Monitor and analyze product performance post-launch to drive ongoing optimization.

Required Skills

• 7+ years of experience in a similar product or data integration role.
• Proficiency with Python and SQL.
• Proven experience with ETL frameworks and ML data pipelines.
• Strong understanding of fundamental and financial datasets, including market and research data.
• Experience integrating data using APIs, connectors, or ETL for AI/analytics use cases.
• Familiarity with AI/ML data pipelines and model lifecycle tooling.
• Cloud platform experience with AWS, GCP, or Azure.

Preferred Skills

• Prior experience in financial services, investment banking, or research domains.
• Experience working with cross-functional teams in an Agile environment.

Key Skills

Education

Any Graduate