Product Manager, Quant Platform
About the role
About Us:
YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B.
We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world’s largest investment funds and corporations depend on.
For three years and counting, we have been recognized as one of Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. We cultivate a people-centric culture focused on mastery, ownership, and transparency.
About the Role:
This is a remote-friendly opportunity that can sit in NYC or anywhere in the US, including in any of our US offices listed above.
At YipitData, we value ownership and impact. Our Data Feeds & Quant business is one of the fastest-growing segments of YipitData. To accelerate that growth, we’re looking for a Product Manager to own and scale the platform on which our quant product efforts are built.
This role sits at the intersection of quant research, data products, engineering, and go-to-market. You will help turn proprietary and exclusively licensed alternative datasets into standardized, client-ready factor and signal products for systematic investors. This is not a maintenance role. You will help define the product shape of our quant platform, build the operating model around it, and bring a new class of products to market.
Our Feeds & Quant organization includes product managers, quant researchers, product specialists, feed operations, and product marketers. We collaborate closely with engineering partners and with Sales, CS, and Product Specialists to serve a wide range of systematic users.
In this role, you will:
- Quant Platform & Factor Library Development
- Define and own the product spec for our factor library
- Build and scale a standardized factor taxonomy across multiple proprietary datasets
- Collaborate with our quant research team to perform deep diligence on datasets and publish high-alpha signal research
- Sequence the factor library from an initial constrained beta toward a complete library
- Signal-to-Pipeline Engineering Partnership
- Take quant researcher signal research and collaborate with engineering partners to turn insights into repeatable, scalable factor computation and delivery pipelines
- Define product requirements for factor infrastructure