Econometric Forecasting Lead

Job Description

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 worlds 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 Clients. Weve continually refined transformed and perfected our approach to our business creating a language that has become standard in our industry for our Clients 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 Clients our employees and investors. By equipping the brightest minds with the best resources available we provide an invaluable edge in real estate.

ABOUT THE ROLE

We are seeking a highly skilled and results-driven Econometric Forecasting Lead to take ownership of enhancing and improving our commercial real estate forecasting models. The successful candidate will have a strong background in econometrics statistical modeling and commercial real estate with expertise in improving forecasting accuracy innovating new models and refining existing processes. This individual will play a key role in our analytics team working closely with product research and quantitative analytics teams to improve our product offerings and ensure our forecasting models remain robust and reliable.

This is a full-time in-office position that will be based in our Richmond VA office.

RESPONSIBILITIES

• Monitor and track forecast accuracy using defined metrics (e.g. RMSE MAE) providing regular reports on accuracy/back testing and serving up data points used.

• Work with the analytics team to serve up data for the development of dashboards to track forecast accuracy making insights actionable for analysts department leaders and executives.

• Continually explore new economic inputs and refine existing variables and coefficients to enhance the precision and accuracy of existing forecasting models.

• Conduct independent and creative quantitative research applied towards the evaluation tracking and improvement of CRE models data series and estimations

• Lead and refine the quarterly review process for forecast accuracy incorporating feedback from analysts and external factors to improve models.

• Develop and innovate new forecast models for specialty real estate sectors nowcasts space-level analytics and other emerging real estate markets.

• Maintain clear documentation on forecast models and methodologies including explanation of inputs variables etc.

• Provide ongoing education to analytics team on forecast updates and drivers and forecast accuracy.

• Lead communication of forecast process guidelines results and updates to external customers including back testing and accuracy review. Assist customers with model validations.

BASIC QUALIFICATIONS

• Masters degree in econometrics statistics data science or related field

• 5-7 years of relevant experience in years of experience in econometric modeling quantitative analytics or commercial real estate forecasting.

• Strong proficiency in SQL (SSMS/Databricks) R Python for data manipulation analysis and modeling (proficiency in Stata a plus).

• Expertise in econometric models including regression analysis time series forecasting and advanced statistical techniques.

• Hands-on experience working with large data sets.

• Proven experience in developing and refining forecasting models.

• Strong understanding of commercial real estate dynamics market drivers and forecasting challenges.

• Exceptional communication skills with the ability to explain complex models to non-technical stakeholders.

• Highly organized with heightened attention to detail

• Proactive and self-driven consistently taking initiative to identify and implement improvements.

PREFERRED QUALIFICATIONS

• Advanced degree (Masters PhD) in econometrics statistics data science or related field

• Experience with Python-based common data science tools such as Jupyter Notebooks Numpy Pandas Scikit-learn etc.

• Experience writing clean reproducible robust and scalable analysis code

• Familiarity with cloud platforms (e.g. AWS Azure) and data migration processes.

• Experience in space-level analytics or granular building data modeling.

WHATS IN IT FOR YOU:

When you join CoStar Group youll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.

We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training tuition reimbursement and an inter-office exchange program.

Our benefits package includes (but is not limited to):

• Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug

• Life legal and supplementary insurance

• Virtual and in person mental health counseling services for individuals and family

• Commuter and parking benefits

• 401(K) retirement plan with matching contributions

• Employee stock purchase plan

• Paid time off

• Tuition reimbursement

• On-site fitness center and/or reimbursed fitness center membership costs (location dependent) with yoga studio Pelotons personal training group exercise classes

• Access to CoStar Groups Diversity Equity & Inclusion Employee Resource Groups

• Complimentary gourmet coffee tea hot chocolate fresh fruit and other healthy snacks

We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However please note that CoStar Group is not able to provide visa sponsorship for this position.

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