Lead Quantitative Analyst

Job Description:

Building trusted markets —powered by our people. 

At Cboe, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world. 

 

We’re building inclusive ways to support professional and personal development while strengthening the trust we’ve earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to “go for it” and equip our managers with the training to coach their teams to the next level. Our Associate Resource Groups champion diversity, equity and inclusion, giving associates a safe space to network, share ideas and create opportunities.  

 

Sound like the place for you? Join us! 

Overview:

We are seeking a Quantitative Analyst with a strong product development mindset to analyze exchange data sets across multiple asset classes, specifically equities, FX, options, and futures. This role focuses on identifying and curating actionable datasets for commercial sale. The ideal candidate will have expertise in quantitative finance, data analytics, and machine learning, with a track record of designing and structuring historical datasets for institutional clients.

Location: NYC (flex hybrid)

Key Responsibilities:

1. Exchange Data Analysis & Research

• Analyze market microstructure across equities, FX, options, and futures to extract valuable insights.
• Evaluate raw exchange and proprietary datasets, identifying patterns that enhance trading, risk management, and execution strategies.
• Develop liquidity metrics, order book analytics, and price impact models to assess market behavior.

2. Data Product Development & Commercialization

• Design and package historical datasets for institutional clients, optimizing for usability, scalability, and monetization.
• Define product specifications, licensing models, and delivery mechanisms, including distribution channels such as Snowflake and AWS Marketplace.
• Ensure datasets are structured to support quantitative research, execution strategies, and regulatory compliance.
• Collaborate with engineering teams to ensure efficient data ingestion, normalization, and delivery pipelines.
• Stay ahead of market data trends, ensuring products remain competitive and innovative.

3. Advanced Data Analytics & Machine Learning

• Apply machine learning techniques to detect market patterns, anomalies, and predictive signals.
• Utilize statistical modeling, regression analysis, and clustering algorithms to enhance dataset value.
• Implement feature engineering and deep learning approaches to improve the quality and relevance of data products.

4. Data Distribution & Market Engagement

• Collaborate with hedge funds, asset managers, and proprietary trading firms to understand their data needs and commercial use cases.
• Conduct competitive analysis of alternative data providers and market data solutions.
• Assist sales and marketing teams in positioning and selling data products to institutional clients.

Required Qualifications & Skills:

Education & Experience

• Bachelor’s or Master’s degree in Quantitative Finance, Computer Science, Data Science, Statistics, Engineering, or a related field.
• 3-7 years of experience in a quantitative, data science, or research role at a trading firm, fintech, exchange, or data vendor.

Technical & Analytical Skills

• Strong programming skills in Python (pandas, NumPy, scikit-learn), SQL, and data visualization tools.
• Experience with big data processing, time-series analysis, and high-performance computing.
• Familiarity with machine learning techniques (supervised/unsupervised learning, feature selection, anomaly detection).
• Expertise in market data APIs, FIX protocol, and real-time data processing.
• Hands-on experience with cloud-based data distribution, including Snowflake, AWS Marketplace, and GCP datasets.

Finance & Trading Knowledge

• Deep understanding of market microstructure, order book dynamics, trade execution, and transaction cost analysis (TCA).
• Knowledge of quantitative finance models, portfolio optimization, and factor-based trading strategies.
• Experience working with historical datasets for trading, backtesting, and risk management.
• Familiarity with options and futures market structure, volatility analysis, and pricing models.

Product Development & Commercialization

• Strong ability to commercialize financial datasets, working with sales, marketing, and business development teams.
• Strong ability to translate quantitative findings into actionable, revenue-generating data products.
• Understanding of data licensing, compliance, and alternative data commercialization.

Preferred Qualifications:

• Prior experience at a market data provider, exchange, or trading analytics firm.
• Familiarity with cloud-based data processing (AWS, GCP, Azure) and distributed computing frameworks.
• Ability to apply machine learning in finance, particularly in predictive modeling and trading signals.

Benefits and Perks 

We value the total wellbeing of our people – including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are given at any organization. Still, you should know we offer: 

• Fair and competitive salary and incentive compensation packages with an upside for overachievement 

• Generous paid time off, including vacation, personal days, sick days and annual community service days 

• Flexible, hybrid work environment 

• Health, dental and vision benefits, including access to telemedicine and mental health services 

• 2:1 401(k) match, up to 8% match immediately upon hire 

• Discounted Employee Stock Purchase Plan  

• Tax Savings Accounts for health, dependent and transportation 

• Employee referral bonus program  

• Volunteer opportunities to help you give back to your communities  

 

Some of our associates’ favorite benefits and perks include: 

• Complimentary lunch, snacks and coffee in any Cboe office 

• Paid Tuition assistance and education opportunities 

• Generous charitable giving company match 

• Paid parental leave and fertility benefits  

• On-site gyms and discounts to other fitness centers 

 

More About Cboe 

We’re reimagining the future of the workplace by focusing on what matters most, our people.  Our journey is an inclusive one. We’re investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We celebrate the diversity in our communities, inside and out, and welcome new perspectives with equity, inclusion and belonging. 

We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We’re an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes. 

Learn more about life at Cboe on our website and LinkedIn. 

Equal Employment Opportunity 

We're proud to be an equal opportunity employer - and celebrate our associates' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status 

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Our pay ranges are determined by a number of factors, including, but not limited to, role, experience, level, and location. The national new hire base pay range for this job in the United States is $134,300-$165,900. This range represents the minimum and maximum base pay the company expects to offer for new hires working in the position full time. If you live in one of the following areas or if you work in a Cboe office in the following areas, the range may be higher according to the geographic differentials listed below:

 

US Geographic Differentials:

• 110%: Austin TX, Chicago IL, Denver CO, San Diego CA 

• 115%: Los Angeles CA, Seattle WA 

• 120%: Boston MA, Washington DC 

• 125%: New York City NY  

• 130%: San Francisco CA 

 

Within the range, individual pay is determined by a number of factors, including, but not limited to, work location, job-related skills, experience, and relevant education or training. In addition to base pay, our total rewards program includes an annual variable pay program and benefits including healthcare (medical, dental and vision), 401 (k) with a generous company match, life and disability insurance, paid time off, market-leading tuition assistance, and much more!  Your recruiter will provide more details about the total compensation package, including variable pay and benefits, during the hiring process. For further information on our total rewards program, visit TOTAL REWARDS @CBOE. 

 

Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.