Lead end-to-end development of AI-driven investment and other domains of analytics products, from concept through deployment
Translate investment research and ML models into scalable, user-facing tools and workflows
Collaborate closely with AI Research teams to productionalize models across areas such as factor investing, portfolio optimization, and market insights
Partner with AI Platform teams to ensure robust data pipelines, model deployment, and monitoring frameworks
Work with business leaders, investment teams and technology partner teams to identify opportunities where AI can enhance Alpha generation and signal development, portfolio construction and risk management, client analytics and product innovation
Drive multiple AI and technology teams to common AI product features
Contribute to the broader AI product roadmap aligned with business objectives
Requirements
Strong academic background in Computer Science, AI/ML, Quantitative Finance, or related field
8–15 years of experience across investment domain, AI/ML, or financial technology
Hands-on experience with machine learning techniques and data-driven modeling
Proficiency in programming languages such as Python, C++, or similar
Deep understanding of systematic investing, factor models, multi-asset strategies, or derivatives-based strategies
Experience working with portfolio construction, volatility management, or risk premia strategies is highly preferred