Description

You own the definition and execution of the product roadmap for AI tooling and data integration initiatives, driving products from concept to launch in an Agile environment.

Responsibilities

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

Required Skills

• 7+ years of experience in a similar role.
• Strong understanding of fundamental and financial datasets, including company financials, market data, and research data.
• Proven experience in data integration using APIs, data connectors, or ETL frameworks for AI or analytics use cases.
• Familiarity with AI/ML data pipelines and model lifecycle tooling.
• Experience working with cross-functional teams in an Agile environment.
• Strong analytical, problem-solving, and communication skills to translate complex concepts.
• Prior experience in financial services, investment banking, or research domains.
• Proficiency with Python and SQL.
• Experience with ETL Frameworks and ML Data Pipelines.

Key Skills

Education

Any Graduate