Great data is required for the analytics we do. We have built, and will continue to build, the most comprehensive real estate data set in the marketplace. Every data element we include is based on clear reasoning for why this factor matters. We track the most specific details about a given property, the broadest macroeconomic factors, and everything in between. Our data infrastructure aggregates 1,000's of data elements from a broad set of data sources. Over 50% of the data we use is based on our own proprietary data calculations as well as data feedback loops from having our products in the market.
We use models and enduring data relationships to accurately see into the future. Our team of PhD statisticians and data scientists use the latest in machine learning and predictive analytics to understand relationships. We build models that have and continue to work accurately over the last 40 years. With great data and predictive tools we can be much better prepared for the future.
Great data and predictive models are not enough. The information needs to help you create value. We translate our information into products focused on helping our clients better understand their investment and create value. Whether you are a Fortune 100 bank, a homebuilder, or appraise homes for a living, we have built products that are focused on directly helping you. Our products help our clients with their biggest needs, yet there are many more products we know we need to build. We work hard to prioritize product development based on client needs.
It started with a business executive and a data scientist, who came together with one mission:
“Imagine...what we would do, if we could understand where real estate prices are going.”
When we looked at the available tools, we saw data aggregators charging exorbitant prices for incomplete bits of raw data, we saw analysts ineffectively using rear-view looking information to make forward-looking projections, and most information was only available at a county level that lacked the street-level local relevance.
We saw a need a to bring better information, analytical rigor, sophistication, and tools to the $20 Trillion US residential real estate market made up of 140M homes, 25,000 ZIP Codes and 80,000 blocks. We knew it would take a different kind of company to build it. That's why we founded HouseCanary.
Our team is made up of the brightest and most dedicated data real estate strategists, statisticians, software engineers, and designers in the world.
Jeremy is the co-founder and CEO at HouseCanary. He drives the company's vision, strategy and growth to identify interesting and unique ways for leading corporations, investors and individual homeowners to use data to maximize their value in real estate. Jeremy was previously a Partner & Managing Director at The Boston Consulting Group where he helped leading real estate investors deploy billions in capital. In looking for ways to better predict real estate prices Jeremy began collaborating with Chris and Key in 2013. Jeremy received his MBA from The Wharton School, and his BS in Accounting from the University of Southern California with highest honors.
Chris is the co-founder and Head of Research at HouseCanary. He leads the research team in creating the most accurate predictive analytics through machine learning, dynamic modeling and cloud computing. Chris draws on his previous experience as an economist and his dissertation research on Dynamic Models of Financial Risk. He earned BA and MA degrees in Economics at UC Santa Barbara, and was pursuing his PhD at the University of Texas San Antonio prior to founding HouseCanary.
Jim is the Chief Technology Officer at HouseCanary. He leads the engineering team and ensures the execution and success of the HouseCanary's products. Jim has a long history of delivering cutting-edge engineering projects. He has built everything from the Kepler spacecraft to video games. Prior to coming to HouseCanary, Jim was the Director of Mobile Shopping at Amazon. He's been the CTO of Kixeye, a San Francisco gaming company. He was the director of engineering at CCP Games in Atlanta and the Lead Program Manager for several NASA and DoD programs. Prior to receiving degrees in Computer Science and Psychology from the University of Colorado, Jim was a US Navy Explosive Ordnance Disposal technician.
As the COO at HouseCanary, Paul is responsible for the daily business operations of the company. Prior to HouseCanary, Paul founded, operated, and sold two venture-backed companies in Ivy and Clicker; and helped grow three public companies to be global top 10 Comscore properties in CBS Interactive, IAC, and Ask.com. Paul started his career at a San Francisco technology-focused investment bank as an M&A analyst. Paul received his BA in Economics from Stanford University.
As CMO at HouseCanary, Martin leads the company’s brand, digital acquisition and demand gen efforts. Martin has 15 years of experience building global brands and advising technology start-ups. Most recently at LifeLock, America’s #1 identity protection brand, he built the Digital Marketing team, bringing all core channels in-house and helping re-position the company’s complex offering. Having started his marketing career at Procter & Gamble, Martin is a believer in using customer insight to help technology companies understand their users, meet their needs, and develop brands people come to love and evangelize. Martin received his BS and MS in Management Science and Engineering from Stanford University.
Maikao is the Vice President of Finance. Most recently she was SVP Finance at Rdio. Originally from France, she previously worked for AOL and Skype in Europe, where she managed the Accounting operations before and through the eBay Acquisition. She later joined the eBay FP&A team and moved to the US. In her spare time, she enjoys cooking/trying new restaurants and organizing fun trips for her family.
As SVP & Head of Product at HouseCanary, Chris leads the product team in building powerful analytic tools that help people make better real estate decisions. Chris has 10+ years’ experience creating innovative consumer internet products. Most recently, Chris was SVP Product at Sindeo, an online mortgage marketplace. As an early hire at Trulia, Chris led the core consumer product experience and launched Trulia’s rentals and mortgage marketplaces. Previously, Chris launched new product lines at Nextag, a comparison shopping site, and was a senior engineer at a Cisco-backed technology consulting firm. Chris has an MBA from Columbia Business School and a BA from Yale University.
Leading companies and investors are using HouseCanary to help them make their most important decisions.
With HouseCanary, investors are finding profitable investment opportunities where they never looked, mortgage companies are getting a whole new view of properties they underwrite, appraisers are changing how they appraise, and homeowners have better information to manage their largest asset.
We are changing how the $20 Trillion US residential real estate market works for the better. We develop data and tools that create value for our clients. We are on a journey, and this is just the beginning.We hope to partner with you whether you run a $100B mortgage bank, a $10B hedge fund, or are looking to buy your first house. We will continue to build the information and ship the software that allows you to effortlessly make better decisions, create value, and protect that value.
Working at HouseCanary means you'll be surrounded by colleagues who are at the top of their game, that come together to do things that seem impossible, and make a hugely positive impact through their work.
We need more great people to join us. If solving very difficult real estate problems with beautiful software using machine learning, big data analytics, and economic theory sounds rewarding to you, browse our open positions to see what might be a good fit for your interests and skill set.