AI-First Real Estate Investment Associate $100,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Not accepting applications on crossover.com at this time.
Description
Are you interested in transforming the real estate investment sector through AI? Join 2-Hour Learning as we pioneer a new era, integrating sophisticated technologies with deep market insights to reshape how educational spaces are envisioned and realized across the US.
We're looking for experienced financial analysts who excel in data science, are proficient in programming, and are keen to harness AI to enhance their analytical toolkits.
2-Hour Learning is embarking on an exhilarating $100M+, multi-state expansion to bring educational innovation to US students. You will leverage AI and cutting-edge tech tools to analyze commercial property markets, ensuring no target property in the US escapes our eye. This role focuses on long-term strategic investment rather than short-term property turnover; 2 Hour Learning aims to operate each property acquired.
A day in your role will include:
- Leveraging AI tools and your programming skills to systematically scan for distressed and special-use properties nationwide.
- Networking with key real estate professionals and accessing exclusive databases to uncover off-market opportunities.
- Conducting financial modeling and scenario analysis to evaluate these opportunities, interpret data, and predict market trends.
- Working collaboratively to operationalize 2 Hour Learning's real estate investment strategy, enhancing our capability to scout, analyze, and invest in properties that align with our educational mission.
Are you ready to be part of something audacious and transformative? Join us on this journey where your financial acumen, technical expertise, and enthusiasm for AI-driven innovation can make a significant difference.
What you will be doing
- Scan nation-wide listings for commercial real estate opportunities, ensuring strategic alignment with 2 Hour Learning’s expansion goals.
- Code and refine predictive algorithms with the help of AI to efficiently evaluate large datasets, assess market trends and investment risks.
- Continuously improve data sourcing and analysis techniques to maintain a competitive edge in identifying high-potential investment opportunities.
What you will NOT be doing
- Typical brokerage activities such as listing properties, making offers, or negotiating sales; this role is focused on strategic investment analysis, not sales or property management.
- Relying on outdated methods of property scouting or data gathering; you will utilize AI tools to streamline and enhance the sourcing and data analysis processes.
Key responsibilities
Drive growth and innovation in 2 Hour Learning's commercial real estate portfolio through strategic, AI-enhanced investment analysis.
Candidate requirements
- Degree in finance, financial engineering, fintech, or any other relevant field that equips you with a deep understanding of financial data analysis.
- At least 3 years of experience in the financial industry, analyzing financial data using quantitative tools and methods.
- Proficiency in Python or any other programming language suitable for tasks such as developing financial models, analyzing large datasets, programming tools to source data, etc.
- Familiarity with data analysis using AI tools and eagerness to apply them in enhancing real estate investment identification and analysis.
- Willingness and ability to work US business hours (8 am - 6 pm in any US time zone).
How it works
Applying for a role? Here’s what to expect.
We’ve curated a series of steps that take the guesswork (and cognitive bias) out of recruiting the best person.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job & AI Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
STEP 6
Celebrate!
Frequently asked questions
Reviews
Meet some people who've landed similar jobs
Why Crossover
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
