Prediction Market Analyst

Cboe Global Markets

. Conduct competitive analysis for Cboe’s emerging prediction market offering, Cboe Predicts.

Posted 10/26/2026full-timeUnited StatesJunior💰 $84,150 - $123,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in competitive analysis and market research within capital markets, focusing on retail behavior and product implications. Proficient in advanced data analysis and automation tools to enhance operational efficiency and reporting.

Highest-signal resume keywords

Competitive AnalysisAdvanced Excel/Data AnalysisAI Workflow EngineeringLow-Code AutomationUnderstanding Of Retail Brokerage Ecosystem

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisMarket ResearchProduct DesignFinancial TechnologySecurities ValuationAPI IntegrationProgrammatic Document GenerationCloud Data WarehousingDashboardingAutomation

Soft Skills

Strong Written CommunicationStakeholder Management

Tools & Technologies

N8nPower AutomatePython-PptxOpenpyxlSnowflake

Industry Keywords

Capital MarketsExchange Rule FilingsFee SchedulesSECCFTCFINRARetail Investor BehaviorDerivatives Product Design

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Conduct competitive analysis for Cboe’s emerging prediction market offering, Cboe Predicts.
Build internal automation and tooling and explore potential new prediction market offerings.
Provide strategic insights regarding major developments in the prediction market space.
Analyze retail participation, flow characteristics, and adoption trends across Cboe proprietary products.
Translate retail behavior patterns into product and go-to-market implications.
Build and maintain recurring dashboards and reporting on retail behavior.
Replace manual data pulls with automated pipelines.
Quantify the impact of retail-facing initiatives in dollar or participation terms for advisory group and executive materials.
Track competitor product changes and fee filings and inform internal stakeholders.
Monitor institutional client trends and measure participation in event contracts.
Provide market sizing for new thematic product opportunities.
Create competitor reports on institutional and retail customer strategy and product use cases.
Research alternative asset classes and adjacent product structures and assess viable exchange-adjacent offerings.
Produce competitive assessments covering contract design, margin and capital treatment, distribution model, and regulatory posture, with clear recommendations.
Monitor the regulatory and policy environment shaping retail access to alternatives.
Build and maintain automations that eliminate recurring manual work.
Develop reusable internal tools for document and presentation generation, competitive monitoring, and alerting.

Requirements

What you’ll need

Bachelor's degree; MA, MS, or MBA in finance, economics, business, data science, or a related field preferred, 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/Data Analysis: pivot tables, structured data models, dashboarding.
Strong written communication skills.
Demonstrated ability to take a loosely scoped project to a concrete deliverable across multiple stakeholders.
Familiarity with U.S. options and equities market structure: exchange rule filings, fee schedules, and the SEC/CFTC/FINRA landscape.
Understanding of the retail brokerage ecosystem: routing, order handling, PFOF, self-directed platform economics.
Experience with low-code automation (n8n, Power Automate) and API integration.
Experience with programmatic document generation (python-pptx, openpyxl) and cloud data warehouses (Snowflake).
Interest in derivatives product design and retail investor behavior.
Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.
This position is not eligible for visa sponsorship.

Benefits

Comp & perks

Medical Coverage
Prescription Drug Coverage
Additional Medical Benefit
Dental Coverage
Vision Coverage
401K or Pension Company Match
Spending Accounts
Life and AD&D Insurance
Retirement Savings Plan
Employee Stock Purchase Plan (ESPP)
Voluntary & Additional Benefits
Paid Time Off
Leadership programs and career development initiatives