Key Responsibilities

• Lead the end-to-end deployment of LLM and analytics platforms to improve data-driven decision-making across trading, risk, and portfolio management functions.
• Manage AI model lifecycles, including fine-tuning, evaluation, and performance optimization, ensuring scalability and accuracy for real-world financial datasets.
• Define product requirements for data ingestion, annotation, and transformation pipelines supporting analytics, forecasting, and compliance functions.
• Develop and manage conversation-style AI tools that enhance analyst and portfolio manager productivity through natural language interfaces for data exploration and reporting.
• Collaborate with engineering, quant, and business stakeholders to translate investment research goals into actionable AI features and insights.
• Design internal productivity tooling to improve data operations throughput, reduce time-to-insight, and support consistent data quality and compliance across products.
• Oversee partnerships and vendor integrations with AI/ML providers to extend product capabilities across asset classes and global markets.

Qualifications

• 6-10 years of experience in product management, data platforms, or AI/ML applications within financial services, fintech, or analytics environments.
• Strong understanding of machine learning, data science, and model fine-tuning workflows.
• Proven ability to manage complex data ecosystems across multiple internal and external stakeholders.
• Technical proficiency in Python, PySpark, SQL, Git, HTML, and CSS.
• Experience leading initiatives that connect AI solutions to measurable business outcomes in asset management, trading, or risk analytics.
• Bachelor’s degree in Engineering, Physics, or related technical field; advanced degree preferred.

Desired Attributes

• Analytical mindset with strong quantitative and technical grounding.
• Ability to translate abstract investment or business objectives into practical AI-driven solutions.
• Exceptional communication and stakeholder management skills.
• Entrepreneurial problem solver with a passion for data transformation and intelligent automation.