Overview:
You will support Cboe Predicts, the firm’s emerging prediction market offering, by delivering data-driven insights and practical automation. You’ll work with cross-functional teams to assess market opportunities, quantify impact, and shape product and go-to-market strategies. The role combines capital markets analysis with hands-on tooling and AI-enabled workflows to deliver tangible outputs. You collaborate in a fast-growing space where your analyses inform strategic decisions and product design. Compensation / Benefits Medical Coverage Prescription Drug Coverage Dental Coverage Vision Coverage 401K or Pension Company Match Employee Stock Purchase Plan (ESPP)
Responsibilities:
Analyze retail participation, flow characteristics, and adoption trends across Cboe products and translate findings into product and GTM implications. Build and maintain recurring dashboards and reporting on retail behavior with automated data pipelines. Quantify the impact of retail initiatives (education, protections, design changes, listings) in dollar or participation terms for executives. Track competitor product changes and fee filings to keep internal stakeholders informed. Monitor institutional client trends to measure participation in event contracts for growth of Cboe Predicts. Provide market sizing and opportunity assessments for new thematic products, including alternative asset classes. Create research reports on competitors and institutional/retail strategy and use-cases. Develop reusable internal tools and automation (document/presentation generation, competitive monitoring, alerting).
Key requirements:
1–3 years of experience in capital markets, exchanges, asset management, market structure, or fintech. AI workflow engineering experience. Knowledge of capital markets, securities valuation, and financial institutions. Advanced Excel/Data Analysis: pivot tables, structured data models, dashboards. Strong written communication skills. Proven ability to turn loosely scoped projects into concrete deliverables across stakeholders. Strong written communication Independent critical thinking Ability to present and defend ideas AI workflow engineering Python scripting (preferred: python-pptx, openpyxl) low-code automation (n8n, Power Automate)