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 of 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
Required Qualifications
Preferred Qualifications
Come as You Are
Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.
We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.
We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.
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.Director, Quantitative Data Products • Ontario, Toronto, Canada
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