Nexus Equities | Quantitative Investments and Data Science Intern | New York City Metropolitan Area | United States | BigDataKB.com | 20 Oct 2022

Job Location: New York City Metropolitan Area

Nexus Equities โ€“ 2022 Quantitative Investments & Data Science Internship

Firm Overview:

Nexus Equities (“Nexus”) is a New York-based investment firm with a mandate to acquire or develop Industrial Outdoor Storage (“IOS”) and Industrial Service Facilities (“ISF”) across the US. Our team’s broad and deep experience in the IOS/ISF space puts us in a unique position to execute opportunities that meet the needs of the greater universe of owner/users, sellers and investors.

 

Nexus is seeking a dedicated and ambitious intern to join our Quantitative Investments & Data Science (QUIDS) team and develop cutting-edge solutions that will be integral to our investment philosophy, working side-by-side with our Investments team. Our goal is to make informed, data-backed investment decisions by uncovering and understanding drivers of value specific to each market/asset by leveraging ML/Computer Vision, first-of-its-kind AI-driven predictive models, and various other projects.

 

Please Note: The position is unpaid, with potential to participate in upside/equity. We strongly prefer candidates who are planning to stay with Nexus for the long-term. This is also an opportunity that comes with the potential to receive a full-time offer upon graduation.

You Will Be Involved In:

  • Building out cutting-edge solutions that currently donโ€™t exist in the commercial real estate industry (yet!)
  • Scaling the solutions on a national level to gain an understanding of micro/macro drivers of value
  • Developing ML algorithms and AI-driven predictive models, extracting critical insights in the data to constantly improve our investment philosophy/processes
  • Synthesizing publicly-available and proprietary firm data to inform on investment decisions
  • Working cross-functionally with Investments team to develop an understanding of investment criteria and theses

Job Description:

  • Proficiency using Python (with Pandas) 
  • Ability to use SQL to query datasets from databases
  • Self-starter with the ability to independently apply statistical analysis techniques and think creatively to convey analysis results through visualizations
  • Can take initiative in their work and have great time management skills
  • Able to work minimum 15+ hours per week

Recommended Experience:

  • Experience with statistical analysis and visualization through previous employment, academic activities or projects
  • โ€‹โ€‹Have experience through coursework, projects, internships, and/or research with at least one of the following libraries:
  • Numpy, Scipy, Matplotlib, SciKit, TensorFlow, PyTorch, Spark, Tableau/Quicksight
  • Experience with GIS data analysis is preferable, but not required
  • Experience with computer vision would be helpful, but not required
  • Experience in start-ups would be helpful, but not required

Required Qualifications:

  • A basic knowledge of or interest in real estate private equity
  • Excellent verbal and written communication skills
  • Motivated and dedicated to producing high quality results
  • Efficient, through taking initiative by seeking to improve processes and workflows
  • Meticulous attention to detail

What Nexus Offers:

  • High-Impact Projects
  • ๏ปฟYouโ€™ll get the opportunity to directly influence our cutting-edge products. Got a question or idea? Voice it. Your curiosity could help advance our next-generation cloud applications and help us find new ways to apply emerging technologies like AI, machine learning, and blockchain.

  • Direct Exposure to the Real Estate Private Equity Fundraising Process
  • You will be involved with a driven, ambitious team that is in the process of raising capital. You will learn and be involved in the entire process from investor relations, strategic development/implementation and project management.

  • Real Estate Investing Mentorship
  • As part of the Quantitative Investments & Data Science team you will be working closely with the Investments team in understanding and developing a parallel investment philosophy through quantitative means. This process will provide insights on the Real Estate Private Equity sourcing process, as well as an understanding of the driverโ€™s of value for specifically IOS assets and industrial assets as a whole across several markets.

Looking for unpaid interns interested in Real Estate Private Equity. Potential to participate in upside/receive full-time offer.




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