Prediction Market Analyst

Cboe Global Markets•Chicago, IL

3d•$84,150 - $123,750•Hybrid

About The Position

Cboe Global Markets is seeking a highly motivated, independent critical thinker to work on Cboe Predicts, its emerging prediction market offering. Cboe Predicts enables retail and institutional customers to trade binary contracts for risk transfer based on realized events. The analyst will conduct competitive analysis, build internal automation and tooling, explore potential prediction market offerings, and provide strategic insights on developments in the rapidly growing prediction market space. The role combines traditional capital market research with innovation and is a hands-on generalist position with visible output. The analyst may write analysis and develop Python scripts, integrate AI-assisted workflows into daily work, and present and defend ideas using statistical analysis, financial theory, and objective analysis of world events and their macro- and micro-level impacts. The role analyzes retail participation, product flow, and adoption trends; builds automated dashboards and reporting; assesses the impact of retail-facing initiatives; and tracks competitor product changes and fee filings. It also researches alternative investments and adjacent product structures, sizes markets for potential thematic offerings, assesses competitors and venues, and monitors regulatory and policy developments. In addition, the analyst builds reusable automations and tools, including document and presentation generation, competitive monitoring, and alerts. The role follows a four-day-in-office work model. The anticipated U.S. base salary range is $84,150–$123,750. The position may also be eligible for annual incentive compensation and, where applicable, participation in long-term equity programs. The position is not eligible for visa sponsorship; candidates must be authorized to work in the United States without employer sponsorship now or in the future.

Requirements

Bachelor’s degree, or equivalent experience.
1–3 years of experience, including internship experience, in capital markets, exchanges, asset management, market structure, or financial technology.
AI workflow engineering experience.
Knowledge of capital markets, securities valuation, and financial institutions.
Advanced Excel and data analysis skills, including pivot tables, structured data models, and dashboarding.
Strong written communication skills.
Demonstrated ability to take a loosely scoped project through to a concrete deliverable across multiple stakeholders.

Nice To Haves

MA, MS, or MBA in finance, economics, business, data science, or a related field.
Familiarity with U.S. options and equities market structure, including exchange rule filings, fee schedules, and the SEC/CFTC/FINRA landscape.
Understanding of the retail brokerage ecosystem, including routing, order handling, payment for order flow (PFOF), and self-directed platform economics.
Experience with low-code automation tools such as n8n or Power Automate and API integration.
Experience with programmatic document generation tools such as python-pptx or openpyxl and cloud data warehouses such as Snowflake.
Interest in derivatives product design and retail investor behavior.
Experience in capital markets, derivatives, programming, writing research reports, or academic papers.

Responsibilities

Analyze retail participation, flow characteristics, and adoption trends across Cboe proprietary products, including index options, mini and nano contracts, and short-dated expiries, and translate findings into product and go-to-market implications.
Build and maintain recurring dashboards and reporting on retail behavior for internal business owners, replacing manual data pulls with automated pipelines.
Quantify the impact of retail-facing initiatives, such as education, market protections, contract design changes, and listing decisions, in dollar or participation terms for advisory group and executive materials.
Track competitor product changes and fee filings and inform internal stakeholders in a timely manner.
Monitor institutional client trends and identify ways to measure participation in event contracts to support Cboe Predicts growth.
Size markets for new thematic product opportunities that complement tradable asset classes in Cboe’s ecosystem, including event contracts, options, futures, equities, and cryptocurrencies.
Create reports on competitors and their institutional and retail customer strategies and product use cases.
Research alternative asset classes and adjacent product structures, and assess whether listed, cleared, or exchange-adjacent offerings may be viable through event contracts or binary-options wrappers.
Produce competitive assessments of specific products and venues covering contract design, margin and capital treatment, distribution models, and regulatory posture, with a clear recommendation for each.
Monitor the regulatory and policy environment affecting retail access to alternatives and flag developments that open or close potential paths.
Build and maintain automations that eliminate recurring manual work for the team.
Develop reusable internal tools, such as document and presentation generation, competitive monitoring, and alerting, with an emphasis on adoption by other teams.