Product Manager, Quant Platform

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YipitData

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🏢 Enterprise

Finance • Enterprise • Data Analysis

YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.

📋 Description

• Define and own the product spec for our factor library - including factor definitions, universe/coverage rules, methodology notes, historical evidence packs, factor exposure files, QA frameworks, and update cadence • 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, translating raw research into repeatable, productized factor pipelines • Take quant researcher signal research and collaborate with engineering partners to turn insights into repeatable, scalable factor computation and delivery pipelines • Conduct deep customer research to understand key systematic end-user needs, feed architecture designs, integration requirements, and backtesting workflows • Partner closely with our revenue and product marketing teams to build GTM plans for signals and bring them to market

🎯 Requirements

• 8+ years of product management experience • Deep familiarity with the quant/systematic investing workflow - including factor construction, backtesting, signal evaluation, and portfolio construction • Experience defining and shipping data-intensive or quantitative products - factor feeds, signal libraries, analytics platforms, or similar • Strong ability to translate between quantitative research and product/engineering requirements - you can read a research paper and turn it into a product spec • Proven ability to work cross-functionally across research, engineering, sales, and marketing in a high-growth environment • Excellent customer research skills - you know how to run discovery with sophisticated quant buyers and synthesize feedback into product decisions • Strong commercial instinct - comfort with ARR accountability, pricing strategy, and competitive positioning

🏖️ Benefits

• flexible work hours • flexible vacation • generous 401K match • parental leave • team events • wellness budget • learning reimbursement • equity