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Quantitative Analyst Job Description
OVERVIEW CoStar delivers real-time, verified commercial real estate data that enables our commercial real estate clients to make informed, high impact decisions ahead of competitors. By combining the power of CoStar's independent research organization - the industry's largest - with global data delivery, software, and application solutions, clients can act on opportunities with confidence. CoStar is seeking a Quantitative Analyst to join our growing analytics organization. The Quantitative Analyst will assist in developing methods to meet CoStar's primary goal of continual improvement in our quantitative efforts related to data accumulation, modelling and estimation of current, historical, and forecast data series. The ideal candidate will possess a broad range of experience and quantitative skills to undertake the responsibilities outlined below and will be eager to join a best-in-class team that performs an integral function within the CoStar Group. The position can sit in any major US city. RESPONSIBILITIES- Conduct independent and creative quantitative research applied towards the evaluation and improvement of CRE models, data series and estimations
- Perform econometric-based forecasting and quantitative analysis
- Determine the need for changes to existing models and strategies
- Update model calibration and conduct model validation
- Document models and analytic products and tools for external and internal clients
- Implement data mining techniques to leverage databases for use in a variety of products and tools
- Perform quality assurance functions and error debugging throughout our models, data series and implementations
- Advanced degree in economics, statistics, data science, real estate, or related field
- Three or more years of relevant experience in a research-oriented environment and/or in professional services such as in commercial real estate, banking, or investment management
- Deep background in econometrics, quantitative methodologies, applied statistics analysis, model building
- Proficiency in SQL, writing queries and reporting from relational databases, and experience with SQL Server Management Studio, with the ability to conduct data mining in large datasets
- Strong scripting and programming skills with Python, R, SAS, Stata and other languages, with hands-on experience
- 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
- Strong applied statistics skills, such as distribution analysis, probability theory, statistical testing, regression, etc.
- Expertise in running exploratory data analysis, statistical modeling, and data mining
- Hands-on experience working with large data sets.
- Strong math and analytical skills
- Accuracy and attention to detail
- Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
- Life, legal, and supplementary insurance
- 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, as well as Segways and bikes available for use during the day
- Complimentary gourmet coffee, tea, hot chocolate, prepared foods, fresh fruit, and other healthy snacks
Vacancy expired!