Leads quantitative analysts in developing and launching benchmark, thematic, factor, strategic beta, and multi-asset indexes. Owns the full index lifecycle, including opportunity identification, signal testing, back-testing, methodology design, risk analytics, and launch. Champions AI-enabled research automation, mentors team members, collaborates across research groups, and develops analytical tools, white papers, and client-ready materials.

Leads engineering and data science teams building AI/ML data collection systems for large-scale unstructured data. Provides technical direction across NLP, classifiers, LLMs, MLOps, data pipelines, cloud platforms, security, and system operationalization. Responsibilities include mentoring and hiring talent, overseeing scalable model and pipeline development, collaborating cross-functionally, improving delivery processes, and ensuring reliable, secure, high-performance solutions.

Develop and configure ServiceNow solutions across HRSD, HAM, SAM, ITSM, CMDB, and related modules. Build service catalogs, workflows, integrations, data migrations, reports, dashboards, and automated tests. Collaborate with stakeholders to translate business needs into technical solutions, maintain documentation, ensure platform security and stability, and drive continuous improvements.