Account Director Quantitative Trading New York City
Classified Tasks (14)
Augment (9)
AI assists, human decides
Manage a focused portfolio of quantitative trading and alternative asset management accounts
operational
Develop long-term strategic account plans for assigned quantitative trading and alternative asset management accounts
leadership
Partner with Solutions, Product, Engineering, and Research to design pilots with measurable business impact
technical
Partner with Solutions, Product, Engineering, and Research to design scaled deployments with measurable business impact
technical
Help customers identify high-value AI use cases across investment research, data analysis, document intelligence, coding, market monitoring, workflow automation, and internal AI platform development
analytical
Own revenue, consumption, pipeline, and forecast performance for your book of business
operational
Track market structure, technology trends, and AI adoption patterns across quantitative trading accounts, multi-manager platforms, systematic investors, and adjacent buy-side firms
analytical
Partner cross-functionally with marketing, partnerships, product, and communications to build OpenAI’s quantitative trading go-to-market motion
leadership
Work with CIOs, CTOs, Heads of AI, data leaders, platform engineering teams, portfolio managers, researchers, and compliance stakeholders to deploy OpenAI across research, data analysis, coding, knowledge retrieval, model evaluation, internal AI platforms, and production workflows
technical
Human-Only (5)
Requires human judgment
Own executive and technical relationships with leading buy-side investment firms, including multi-manager, systematic, and data-intensive platforms
leadership
Lead complex, multi-stakeholder sales cycles across executive, investment, technology, data, AI, research, legal, security, and compliance teams
leadership
Build trusted relationships with highly technical buyers and internal platform teams who evaluate, integrate, and govern AI across the firm
communication
Navigate regulated, security-sensitive environments with attention to privacy, compliance, information barriers, and responsible AI deployment
operational
Engage in board-level, front-office investment workflow, and technical conversations about APIs, model routing, evals, retrieval, data security, observability, and responsible deployment in regulated environments
leadership