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Nationwide Commercial Real Estate Data. One Platform.
The Role
The Quantitative Researcher role involves applying econometric models and data science techniques to analyze trends in commercial real estate, while developing scalable data workflows and collaborating with engineering and data teams.
Summary Generated by Built In
CompStak is a pioneer in crowdsourced commercial real estate (CRE) data and analytics. Our platform transforms raw lease, sales, and property data into actionable insights for brokers, lenders, landlords, and investors. As we expand our data products, the scale and sophistication of our data pipelines and analytical systems are critical to delivering reliable, timely, and high-quality insights to our customers.
Location: New York, NY (Hybrid- Three days per week in the office, subject to change)
We are seeking a Quantitative Researcher – Real Estate & Econometrics with a strong foundation in economics, econometrics, finance, or commercial real estate and an interest in applying quantitative modeling to real-world market behavior. This role is ideal for someone who understands how markets work, has experience working with data, and wants to apply (and grow) modern analytical and data science methods within a commercial real estate context.
In this role, you will help shape how CompStak analyzes, models, and interprets market dynamics by combining domain expertise with econometric and quantitative techniques.
Your mission is to:
-Apply econometric and statistical modeling to analyze and forecast trends in commercial real estate and related economic drivers.
-Learn and apply modern analytical and machine learning techniques as needed to enhance insights and support CompStak’s data products.
-Build scalable workflows that integrate structured CRE datasets with new, unstructured sources to support data enrichment and automation.
-Collaborate closely with engineering, product, and data teams to develop data-driven solutions.
-Bridge domain knowledge and quantitative methods to deliver models that are accurate, interpretable, and meaningful for business decisions.
Responsibilities
- Develop econometric and predictive models: Use quantitative methods to identify patterns, forecast trends, and interpret economic relationships in CRE markets.
- Build and optimize data workflows: Create and refine data ingestion and transformation pipelines for structured and unstructured commercial real estate datasets.
- Ensure data quality: Clean, validate, and reconcile datasets from diverse sources to ensure accuracy and reliability.
- Communicate insights: Translate complex quantitative analysis into clear, actionable insights for both technical and non-technical stakeholders.
- Stay current: Keep up with developments in econometrics, applied analytics, and trends in CRE markets and data science.
Skills & Experience
- 3+ years of experience in an econometrics-focused or analytical role (e.g., economics research, finance, market analysis, consulting, commercial real estate, or corporate strategy).
- Strong understanding of econometrics, applied statistics, and quantitative modeling, demonstrated through academic or professional experience.
- Proficiency in Python and familiarity with analytical/ML libraries (pandas, NumPy, scikit-learn, XGBoost).
- Experience working with large or complex datasets and using data to study market dynamics.
- Excellent organizational, communication, and stakeholder management skills.
- Bonus: Hands-on experience or interest in LLMs, embeddings, NLP tools, or modern ML frameworks (e.g., Hugging Face, LangChain, PyTorch/TensorFlow).
- Bonus: Experience working in commercial real estate, PropTech, or investment analytics.
Total Compensation range: $120,000 - $160,000
About CompStak
Launched in 2012, we’ve built a network of over 30,000 brokers, appraisers and research professionals across the country, using a unique crowdsourced model. Our clients enjoy the foremost lease and sale transaction data combined with a robust analytics platform. CompStak’s unique data and intuitive platform is used by the world’s largest real estate investors, lenders, brokers and appraisers to compare properties, underwrite investments and loans, close deals and track market trends.
CompStak has over 100 team members in the US and overseas; and we continue to grow. We’re backed by top VCs and industry players like Morgan Stanley, Canaan Partners, IA Capital, Transamerica, Moody’s, RealPage, 500 Startups, and Daily Mail Group, and have raised over $75m to date. Our HQ is in New York City, we have regional offices in Atlanta, Chicago and Los Angeles, and we have an international office in Belgrade, Serbia.
We pride ourselves on an environment that is fun, collaborative, and rewards hard work. We look forward to the value that future employees will add to our amazing teams!
CompStak is an equal opportunity employer that celebrates employees and applicants of all identities, backgrounds, abilities, and perspectives. We foster a welcoming work environment that supports diversity and inclusion, and we reject discrimination or harassment of any individual. If you are a person with a disability and require assistance with any part of the application process, please let us know. All employment decisions are made on the basis of qualifications, merit, and business need.
Top Skills
Hugging Face
Langchain
Numpy
Pandas
Python
PyTorch
Scikit-Learn
TensorFlow
Xgboost
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The Company
What We Do
CompStak creates transparency in commercial real estate by gathering information that is hard to find, difficult to compile or otherwise unavailable. The company's data is used by institutional owners to compare properties, hedge funds to make investments, and provides meaningful data for brokers, investors, appraisers, asset managers, etc.
Why Work With Us
We are a team that is scaling quickly with intention. We work hard and we care immensely about our clients, users, and each other. We've created an environment that fosters learning, collaboration, and career growth. It also fosters fun. Employee appreciation comes in many forms, from awesome swag and happy hours to promotions and great benefits
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