Quantitative Data Analyst

Location: Chicago, Illinois, United States; four days per week in the office under a flex/hybrid model.

Base salary: $88,825–$114,950 annually for US locations; annual incentive compensation and, where applicable, long-term equity participation may also be available.

Company

hirify.global provides financial infrastructure, market infrastructure, and tradable products supporting trading, clearing, and investment activities worldwide.

What you will do

• Analyze market microstructure and exchange or proprietary datasets across equities, FX, options, and futures, including liquidity and order book metrics.
• Help design, structure, and package historical datasets for institutional clients and support delivery through Snowflake and AWS Marketplace.
• Apply statistical modeling and machine learning, including regression, clustering, anomaly detection, and predictive signal analysis.
• Partner with engineering, product, operations, support, sales, marketing, and clients on data requirements, ingestion, normalization, commercialization, and product positioning.
• Create and maintain product specifications, FAQs, release notes, website content, and client communications.
• Coordinate product support, testing, issue investigation, sample-file and schema validation, onboarding, releases, and production verification.

Requirements

• Bachelor’s or Master’s degree in Quantitative Finance, Computer Science, Data Science, Statistics, Engineering, or a related field.
• 2–5+ years of experience in a quantitative, data science, research, or market data role at a trading firm, exchange, fintech, or data provider.
• Programming skills in Python and SQL, with experience in data analysis and visualization tools.
• Familiarity with supervised learning, clustering, and anomaly detection.
• Working knowledge of market data APIs, real-time data processing, or related infrastructure.
• Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future.

Nice to have

• Experience at a market data provider, exchange, or trading analytics firm.
• Exposure to cloud-based data platforms such as Snowflake, AWS, or GCP.
• Familiarity with cloud-based data processing, including AWS, GCP, Azure, and distributed computing frameworks.
• Experience applying machine learning in finance, particularly predictive modeling and trading signals.

Culture & Benefits

• Four-day in-office work model supporting team connection and collaboration.
• Professional and personal development opportunities, internal mobility, and manager coaching.
• Annual incentive compensation may be available.
• Participation in long-term equity programs may be available where applicable.
• The Chicago headquarters offers transportation access, restaurants, a fitness center, and collaborative workspaces.