Senior Quantitative Data Analyst (Fintech)

Location: Chicago, Illinois, United States of America; hybrid with four days in the office.

Base salary: $116,875–$151,250 annually, plus potential annual incentive compensation and applicable long-term equity participation.

Company

hirify.global provides financial market infrastructure, trading, clearing, and investment solutions across global markets.

What you will do

• Analyze market microstructure across equities, FX, options, and futures to identify actionable insights.
• Evaluate exchange and proprietary datasets for trading, risk, and execution use cases, including liquidity metrics and order book analytics.
• Design and package historical datasets for institutional clients and support product specifications and delivery through Snowflake and AWS Marketplace.
• Partner with engineering teams on data ingestion, normalization, and delivery workflows.
• Apply statistical and machine learning methods, including modeling, regression, clustering, and anomaly detection, to improve dataset quality and generate insights.
• Work with internal teams, clients, sales, and marketing on data needs, competitive analysis, and product positioning.

Requirements

• Bachelor’s or Master’s degree in Quantitative Finance, Computer Science, Data Science, Statistics, Engineering, or a related field.
• 5–8+ 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.
• Legal authorization to work in the United States without requiring 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.
• Experience with cloud-based data processing using AWS, GCP, or Azure and distributed computing frameworks.
• Ability to apply machine learning in finance, particularly predictive modeling and trading signals.

Culture & Benefits

• Four-day in-office work model supporting close team partnership and connection.
• Health, dental, vision, telemedicine, mental health, paid parental leave, and fertility benefits.
• Paid time off, including vacation, personal days, sick days, and community service days.
• 2:1 401(k) match up to an 8% match immediately upon hire, employee stock purchase plan, and tax savings accounts.
• Tuition assistance, education opportunities, leadership development, on-site gyms, complimentary office meals, and charitable giving support.