Vice President, Quantitive Analytics

Vice President, Quantitive Analytics

Job Description

CoStar - Head of Quantitative Analytics

Overview:

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.

We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.

The Role:

CoStar is seeking to hire a Head of Quantitative Analytics for the CoStar Product. This individual will be responsible for building a team of quantitative modelers and data analytics professionals who will be charged with building quantitative models and tools that will serve to analyze CRE data for our customers. The team will be responsible for data accumulation, modeling and building forecasts to show historical and current data and predict future trends across CRE asset classes and in a variety of scenarios (i.e. analyzing and modeling effective office rents to building DCF models). Additionally, they will be responsible for building a robust QA process to test the effectiveness of current models and review them on an ongoing basis for accuracy. We are looking for a leader who can build and lead a world class team of CRE quants who are looking to use data to enhance products and make a big impact across the CRE industry.

This position is located in Richmond, VA.

Responsibilities:

• Ensure analytical products deliver business value-add and drive market improvements in model accuracy and performance that translate to business impact.
• Continuously evolve a strategic vision to establish CoStar's leadership in the industry using data as a competitive advantage.
• Effectively partner with business leaders to build analytic models that drive value for customers and address real world usage.
• Run flawless delivery of improvements and products against an up-to-date product roadmap to improve current models and launch new products.
• Build a specialized team in Richmond who are set up to drive innovation and deliver analytic product to our customers.

Qualifications & Skills:

• Bachelor's degree in a quantitative; Masters or PhD strongly preferred
• A track record of commitment to prior employers
• 15 years of experience performing econometric based forecasting and quantitative analysis; or10 years of experience and a PhD in Data Science, Statistics, or another quantitative field
• 3 years of experience building models analyzing commercial real estate trends and data
• 5 years leading small team of 2-3 data scientists
• Commercial Real Estate domain expertise, including modeling rents and using multiple data sources to apply to models
• Strong analytical and writing skills, and presentation/public speaking skills

• Strong project management skillset
• Proven experience with stakeholder management
• Strong communication skills and ability to collaborate across Product teams, IT and leadership

CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.