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.
- Bachelorโs 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.
