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Maverick Real Estate Partners is a private equity fund manager that invests in commercial real estate credit in New York City.  Since our founding in 2010, Maverick has developed and deployed proprietary algorithms that convert data into actionable intelligence, uncovering hidden opportunities, pricing risk, and optimizing decision-making.

Our core values of Entrepreneurial Grit and Systematic Problem Solving enable us to provide team members with the satisfaction of building a world-class alternative investment manager that delivers substantial financial benefits to all stakeholders.

Being Maverick

David Aviram

Co-Founder & Managing Partner

Ted Martell

Maverick Leadership

Jim Yetter

Managing Director, Investments

John Kaminsky

Managing Director, Data Strategy

Jenna Goldman

Senior Vice President, Property

Thomas Hooker

Senior Vice President, Legal

Chloé Marcel

Vice President, Data Strategy

Adam Lynch

Vice President, Finance

Timothy Liles

Investments Associate

Ed Manzella

Claire Barbrack

Data Strategy Associate

Megha Bairwal

Data Analyst

Charlotte Hochman

Investments Analyst

Thomas Murray

Asset Management Analyst

Lexi Pace

Marketing Analyst

Maverick Team

Team: Data Strategy Location: 330 Madison Ave, New York, NY
 About the Role:
Maverick Real Estate Partners is a data-focused private equity fund manager with deep expertise in New York City commercial real estate (CRE). We work on behalf of our investors to identify dislocations in the NYC CRE market and uncover unique investment opportunities.
 We are seeking to add the first Data Scientist to our five person Data Strategy team, after a multi-year effort to build out robust data infrastructure and staffing to support the role. This includes development of an extensive data warehouse and cloud infrastructure, mature ELT orchestration, rigorous data cleaning, comprehensive documentation of every aspect of our data ecosystem, and other considerations we view as important to supporting and maximizing the value of this new role. In the course of this work we&rsquo;ve developed proprietary data sets that no other CRE investors possess.&nbsp;
 The initial focus of this role will emphasize the development of predictive models to inform CRE investment and risk management strategies (e.g. value prediction, propensity to sell, distress/default probability, etc.)
 What You&rsquo;ll Do:
<ul>
<li style="font-weight: 300;" aria-level="1">Help our data team make the leap from descriptive to predictive analytics.</li>
<li style="font-weight: 300;" aria-level="1">Work with stakeholders and subject matter experts to frame modeling challenges and desired outcomes.</li>
<li style="font-weight: 300;" aria-level="1">Identify how our current data sources can be best utilized within the models you&rsquo;ll develop. These current data sources include an extensively curated and cleaned data warehouse (BigQuery with dbt for ELT orchestration) containing many municipal and commercial data sets, a graph database (Neo4j) capturing the network of relationships between NYC CRE market participants, and a large document store.</li>
<li style="font-weight: 300;" aria-level="1">Lead feature engineering efforts with dedicated support from the rest of the team (domain expertise, data engineering, data cleaning, ad-hoc analyses, data visualization) to prepare data resources for modeling use. We expect feature engineering to address challenges like dimensionality reduction, encoding of categorical data, addressing sparseness concerns, etc.&nbsp;</li>
<li style="font-weight: 300;" aria-level="1">Identify specific ML/AI techniques relevant to our needs. Modeling approaches are likely to include hedonic regression (to understand how property features influence value), clustering (to group relevant types of properties and property owners into useful segments), time series analysis (to understand how trends evolve over long time horizons), simulation (to evaluate how investment outcomes may vary under different macroeconomic circumstances), etc.</li>
<li style="font-weight: 300;" aria-level="1">Identify how modeling results can be presented to the broader team and investors (via investment memos, presentations, white papers, etc.) and integrated into our core BI toolset (Looker). For an example of current content published by Maverick, see our <a href="https://insights.maverickrep.com" target="_blank" rel="noopener">recent white paper</a> regarding trends in the NYC market.&nbsp;</li>
<li style="font-weight: 300;" aria-level="1">Develop a prioritized roadmap for modeling initiatives, balancing short-term &ldquo;wins&rdquo; with progress toward long-term strategic initiatives.&nbsp;</li>
<li style="font-weight: 300;" aria-level="1">Identify opportunities to improve our data infrastructure.</li>
<li style="font-weight: 300;" aria-level="1">Evaluate new data sets and vendors to determine potential value to modeling initiatives.&nbsp;</li>
<li style="font-weight: 300;" aria-level="1">Adhere to Maverick&rsquo;s high standards for code quality and documentation.</li>
</ul>
 Qualifications:
<ul>
<li style="font-weight: 300;" aria-level="1">Specific and proven expertise with modeling techniques that add value for real estate investment strategies.</li>
<li style="font-weight: 300;" aria-level="1">Expert Python and SQL skills.</li>
<li style="font-weight: 300;" aria-level="1">Experience productionizing models in cloud environments.&nbsp;</li>
<li style="font-weight: 300;" aria-level="1">Experience with geospatial data is helpful.</li>
<li style="font-weight: 300;" aria-level="1">This position does not require a PhD, but we are looking for candidates who have a deep understanding of the underlying statistical methods at play - not simply the ability to deploy common Python libraries and interpret results.&nbsp;</li>
<li style="font-weight: 300;" aria-level="1">While this role will have robust data engineering support, we do expect candidates to have strong data engineering skills - working with APIs, manipulating data in a variety of forms, handling complex transformations, etc.&nbsp;</li>
<li style="font-weight: 300;" aria-level="1">Strong written and verbal communication skills, and the ability to communicate with non-technical audiences about how complex modeling concepts are applicable to our business challenges.</li>
</ul>
 Compensation will include a base salary of $175,000&ndash;$225,000 plus discretionary annual bonus. All Maverick employees work five days a week from our Midtown office. Remote or hybrid positions are not available at this time. Benefits include a 401(k) plan with employer match as well as medical, dental and vision insurance plans. Generous vacation, sick leave, and parental leave policies. All new hires participate in Maverick&rsquo;s intensive training program.
 About Maverick Real Estate Partners:
Maverick delivers superior risk-adjusted returns to institutional investors by identifying unique, high-conviction real estate investment opportunities. Since our founding in 2010, we&rsquo;ve worked to capture and analyze data in order to surface actionable intelligence, uncover hidden opportunities, efficiently price risk, and optimize decision-making. Systematic Problem Solving and Entrepreneurial Grit are Maverick's core values. With over $700 million in assets under management, our investors include some of the country's most respected retirement funds, foundations, and endowments.
 Maverick is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Data Scientist

Team: Data Strategy Location: 330 Madison Ave, New York, NY Reports to: VP, Data Strategy 
About the Role:&nbsp;
Maverick Real Estate Partners is a data-focused private equity fund manager that invests in commercial real estate credit.&nbsp; We are seeking a highly motivated and detail-oriented Legal Data Analyst to join our Data Strategy team.&nbsp; 
This role is focused on maximizing the operational value of our legal data by adding structure and scale to critical litigation management and legal research/analysis workflows. The ideal candidate is organized, analytical, and enthusiastic about working at the intersection of law, data, and AI. 
This is an excellent opportunity for an early-career professional with a background in legal operations, legal services, or data operations who is eager to develop cross-functional skills and gain experience in a fast-paced, high-performing investment environment. 
What You&rsquo;ll Do:
<ul>
<li style="font-weight: 400;" aria-level="1">Structure, document, and maintain legal-related datasets to ensure their accuracy and usability across the firm.</li>
<li style="font-weight: 400;" aria-level="1">Play a critical role in developing and managing legal data ELT processes and orchestration, including SQL-based data transformation via DBT and AI-enabled data pipelines.</li>
<li style="font-weight: 400;" aria-level="1">Contribute to the development, documentation, and optimization of legal-oriented workflows across the firm, with a focus on improving efficiency and consistency. This includes workflows for tracking and managing litigation related to Maverick&rsquo;s portfolio as well as across the broader NYC market.</li>
<li style="font-weight: 400;" aria-level="1">Create reporting dashboards and related tools to support those legal workflows.&nbsp;</li>
<li style="font-weight: 400;" aria-level="1">Coordinate with data engineering and legal/data stakeholders to develop AI data pipelines/workflows.</li>
<li style="font-weight: 400;" aria-level="1">Manage legal data vendor relationships.</li>
</ul>
We&rsquo;re Looking For:
<ul>
<li style="font-weight: 400;" aria-level="1">A degree in legal studies, business, data science, or a related field is preferred.</li>
<li style="font-weight: 400;" aria-level="1">Relevant experience in legal operations, legal technology or data operations role; exposure to real estate or finance/private equity environments is a plus.</li>
<li style="font-weight: 400;" aria-level="1">Strong interest in legal technology, process optimization, and cross-functional collaboration.</li>
<li style="font-weight: 400;" aria-level="1">Demonstrated ability to work independently, manage multiple priorities, and maintain rigorous attention to detail in a dynamic work environment.</li>
<li style="font-weight: 400;" aria-level="1">Excellent written and verbal communication skills; able to communicate effectively with both legal professionals and technical teams.</li>
<li style="font-weight: 400;" aria-level="1">An interest in real estate and finance.</li>
</ul>
Technical Qualifications:
<ul>
<li style="font-weight: 400;" aria-level="1">Strong SQL skills, or a desire to develop these skills</li>
<li style="font-weight: 400;" aria-level="1">Experience with legal workflow and document management tools</li>
<li style="font-weight: 400;" aria-level="1">Familiarity with current capabilities of various AI models (OpenAI, Gemini, etc.) for legal analysis</li>
<li style="font-weight: 400;" aria-level="1">Experience with New York court system data is a plus</li>
<li style="font-weight: 400;" aria-level="1">Experience working in Google Cloud Platform (especially BigQuery) or with DBT is a plus</li>
<li style="font-weight: 400;" aria-level="1">Experience working with APIs or JSON data is a plus</li>
</ul>
Compensation will include a salary of $120,000-$150,000. This is a full-time, in-office position. Benefits include a 401(k) plan with employer match as well as medical, dental and vision insurance plans. Generous vacation, sick leave, and parental leave policies. All new hires participate in Maverick&rsquo;s intensive training program.&nbsp; 
Maverick delivers superior risk-adjusted returns to institutional investors by disrupting real estate credit markets. Since its founding in 2010, Maverick has developed and deployed proprietary algorithms that convert data into actionable intelligence, uncovering hidden opportunities, pricing risk efficiently, and optimizing decision-making. Systematic innovation is woven into the fabric of Maverick&rsquo;s DNA through entrepreneurial leadership, perpetual process improvements, and a ceaseless quest for greater truth. The result is a team that has gained the satisfaction of building a world-class alternative investment manager.&nbsp; With over $700 million in assets under management, Maverick's investors include some of the country&rsquo;s most respected retirement funds, foundations, and endowments. 
Maverick is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Data Analyst - Legal

Open Positions

About Us

Being Maverick

Maverick Leadership

David Aviram

Co-Founder & Managing Partner

Ted Martell

Co-Founder & Managing Partner

Maverick Team

Jim Yetter

Managing Director, Investments

John Kaminsky

Managing Director, Data Strategy

Jenna Goldman

Senior Vice President, Property

Thomas Hooker

Senior Vice President, Legal

Chloé Marcel

Vice President, Data Strategy

Adam Lynch

Vice President, Finance

Timothy Liles

Investments Associate

Ed Manzella

Investments Associate

Claire Barbrack

Data Strategy Associate

Megha Bairwal

Data Analyst

Charlotte Hochman

Investments Analyst

Thomas Murray

Asset Management Analyst

Lexi Pace

Marketing Analyst

Open Positions

01Data Scientist

02Data Analyst - Legal