Director, Quantitative Data Products

Director, Quantitative Data Products

Nasdaq's Alternative Data group specializes in creating unique and insightful data products from non-traditional data sources. Well-known examples of Alternative Data include sentiment measures, real-time tracking of vehicles via GPS transponders, satellite monitoring of industrial facilities, and consumer insights gleaned from anonymized credit card transactions. Our data products empower some of the world's most sophisticated investment funds to outperform. As Director, Quantitative Data Products, you'll play a critical role in defining strategy and driving execution of a portfolio of innovative Alternative Data products. You'll thrive in this position if you're entrepreneurial, data-driven, and strategic, with a deep understanding of investments and a passion for creating products that generate real business impact in a fast-paced, high-growth environment. The ideal candidate has trade floor and/or investments experience, with a strong understanding of buy-side and sell-side trading workflows.

Key Responsibilities

• Conduct market research and engage directly with clients to identify new product opportunities and validate concepts.
• Own the full product lifecycle from ideation and validation through launch, scale, and ongoing optimization.
• Develop and prioritize product roadmaps that align with business objectives and drive measurable revenue growth.
• Partner with cross-functional teams including data science, data engineering, partnerships, client success, sales, and marketing to design and deliver innovative data products.
• Drive go-to-market strategy, including pricing, positioning, and sales enablement to maximize product adoption and success.

Required Qualifications

• 10+ years of experience in product management, product development, and/or data analysis within the investment industry.
• Deep understanding of capital markets, data product fundamentals, and data feeds/products.
• Proven ability to conceptualize and drive new initiatives from 0-to-1 in a fast-paced and entrepreneurial environment.
• Excellent communicator with strong stakeholder management skills and a revenue-focused, owner mindset.
• Bachelor's degree in finance, economics, computer science, engineering, or related discipline.

Preferred Qualifications

• Strong understanding of the alternative data landscape, including key companies and products/services, as well as their competitive positioning.
• Experienced in evaluating and applying alternative data to the investment lifecycle (i.e., programming, statistics, backtesting, etc).
• 0-to-1 startup or venture-building experience.

This position will be located in Toronto and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

What We Offer

We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.

The base pay range for this role is $121,000 - $170,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.