AI-Powered Equity Research Analyst

Workaholic360; New York (NY); Presencial; USD 120 000 - 170 000; Tempo integral

Resumo da oferta

Workaholic360 seeks an Applied AI Analyst to join a fast-growing AI fintech startup serving institutional finance. You will embed with clients, understand their workflows, and build AI-driven production-grade workflows within the platform to transform how investment teams operate.

You will translate client processes into skills and connectors, work with product and engineering on enhancements, and help build a reusable knowledge base across research, risk, data science, and technology for

Qualificações

• 3-7 years of experience in a core equity research function at a top-tier institution.
• Proven track record in fundamental or quantitative research or data science.
• Multiple hands-on AI projects with practical workflow integration.
• Strong use of AI tools integrated into professional workflows.
• Hands-on experience with financial data vendors (Bloomberg, FactSet, CapIQ, etc.).
• Ability to build trust and extract requirements from senior investment professionals.

Responsabilidades

• Embed with clients on-site and drive AI-led workflow transformation.
• Translate client workflows into skills, agents, and connectors.
• Contribute to the product feedback loop to shape platform features.
• Build a knowledge base of playbooks across research, risk, and data science.

Conhecimentos

Equity research

Data science

AI project experience

Finance domain knowledge

Hands-on AI tools

GitHub projects

SQL/Python

Ferramentas

SQL

Python

APIs

MCP connectors

Bloomberg/FactSet/CapIQ

Descrição da oferta de emprego

Workaholic360 seeks an Applied AI Analyst to join a fast-growing AI fintech startup serving institutional finance. You will embed with clients, understand their workflows, and build AI-driven production-grade workflows within the platform to transform how investment teams operate.

You will translate client processes into skills and connectors, work with product and engineering on enhancements, and help build a reusable knowledge base across research, risk, data science, and technology for