Role overview
Nexus Equities – 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 don’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
- 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
- You’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 driver’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.