Market Data Analyst

About the Role

• Market Data Analyst role at Forbes Technical Consulting.
• Location: Chicago, IL
• Work Arrangement: Hybrid (3 days onsite)
• Compensation: $70,000–$90,000 annually
• Employment Type: Full-Time

Key Responsibilities

• Use Python and SQL to extract, clean, analyze, and interpret market data, including trading volume, liquidity, and participant activity.
• Develop and maintain scripts, dashboards, and reporting tools to monitor product performance and pipeline activity.
• Leverage programming and AI tools to generate, validate, and quality-check product metadata, contract specifications, and related data.
• Support the preparation and development of new product listings, from initial concept through regulatory review, legal approval, and finalization of contract terms.
• Research upcoming events and market opportunities across politics, economics, finance, sports, and other relevant industries.
• Monitor and maintain product development calendars to identify and prioritize potential market opportunities.
• Collaborate with engineering, product, operations, legal, and compliance teams to coordinate product launches.
• Support internal product management systems and learn the processes involved in bringing new products to market within a regulated environment.
• Identify opportunities to automate repetitive tasks and improve data accuracy, reporting, and overall workflow efficiency.

Requirements & Tech Stack

• Strong proficiency in Python and SQL.
• Familiarity with data analysis libraries and data visualization tools.
• Experience using AI tools to improve efficiency, or a demonstrated interest in applying AI to research, analysis, automation, and documentation.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Finance, Engineering, or a related quantitative discipline.
• 0–2 years of professional experience in analytics, data science, product analysis, or a related field.
• Strong analytical and problem-solving skills, with the ability to translate raw data into meaningful business insights.
• Genuine interest in financial markets, financial products, derivatives, or emerging market technologies.
• Exceptional attention to detail, particularly when working with data validation, documentation, and complex information.
• Strong communication skills and the ability to collaborate across technical and nontechnical teams.
• Preferred: Exposure to financial exchanges, trading environments, derivatives, event-based contracts, or regulated financial products.
• Preferred: Experience working with automation, data quality processes, or product development workflows.