Review and assess equity research, models, and market analyses to improve AI training data. Provide valuation, earnings forecasting, and investment memo feedback using long/short equity frameworks. Contribute to analytical materials, market sizing, and research summaries to enhance financial reasoning in foundational models.
This role is for one of our clients
Compensation: $200 per hour
Location Requirements
🇦🇺Australia🇦🇹Austria🇧🇪Belgium🇨🇦Canada🇨🇭Switzerland🇩🇪Germany🇫🇷France🇬🇧United Kingdom🇱🇮Liechtenstein🇱🇺Luxembourg🇲🇨Monaco🇳🇱Netherlands🇺🇸United States
We are seeking experienced hedge fund professionals to support a high-impact research initiative with a leading AI lab focused on training advanced foundational models. In this role, you will apply your expertise in long/short equity investing to evaluate and enhance financial reasoning content, helping improve how AI systems analyze public markets, company performance, and investment opportunities.
This role is ideal for candidates with strong analytical depth, investment judgment, and experience in equity research and portfolio analysis.
Requirements
What You’ll Do
- Review and assess financial and investment-related content, including equity research, models, and market analyses
- Contribute to the development and refinement of high-quality analytical materials
- Apply long/short equity frameworks to evaluate valuation, earnings performance, and market positioning
- Provide structured, actionable feedback to improve clarity, rigor, and accuracy
- Support tasks involving earnings forecasting, investment memos, and research summaries
Who You Are
- Minimum 2+ years of experience at a hedge fund, with exposure to long/short equity strategies
- Hands-on experience in at least one of the following:
- Financial modeling
- Market sizing / Total Addressable Market (TAM) analysis
- Investment research, summaries, and memos
- Earnings forecasting and analysis
- Strong analytical, problem-solving, and critical thinking skills
- Excellent written communication with high attention to detail
Engagement Details
- Minimum commitment of 10 hours per week
- Initial engagement of at least 4 weeks, starting in October
- Potential for extension or rotation into similar future projects based on performance
- Fully remote, flexible, and self-paced work environment
Compensation
- $200 per hour, with potential increases for top performers
- Weekly payments via supported global payment platforms
Additional Information
- Independent contractor role
- Work must not involve sharing confidential or proprietary information from any current or past employer or client
- Project scope and duration may be adjusted based on business needs and individual performance
- This opportunity does not currently support certain work authorization categories
Equal Opportunity Statement
All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.
Similar Jobs
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Full-cycle recruiter owning hiring for Business and GTM functions (Sales, Legal, Risk, Compliance, Finance, Operations, Strategy, Marketing). Partner with senior leaders to design sourcing strategies, assess candidates, manage offers and negotiations, track recruiting metrics, and improve workflows. Champion employer brand and deliver diverse, high-caliber talent in a fast-paced, hybrid Toronto environment.
Top Skills:
Ashby
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design and implement Epic payer platform IT solutions, perform complex data analysis and data mining/modeling, manage IT infrastructure alignment, mentor junior staff, and build client relationships to support operations transformation.
Top Skills:
ChroniclesData CourierEpic EcsaEpic OdbaEpic Payer Platform
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Design, build, and deploy scalable AI and GenAI solutions by wrangling data, developing ML models, and maintaining data infrastructure. Collaborate with clients, perform complex analyses, apply NLP and deep learning techniques, and mentor junior team members to deliver production-ready AI systems.
Top Skills:
AWSC++DatabricksGCPAzureNatural Language ProcessingNeural NetworksPythonReinforcement LearningScikit-LearnSnowflakeTensorFlow
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
