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- Tasks: Create and refine financial models for AI training in investment banking and finance.
- Company: Join Pareto.AI, a leader in AI research collaboration.
- Benefits: Flexible schedule, competitive pay per submission, and potential for extension.
- Why this job: Make an impact on AI's financial reasoning while enhancing your skills.
- Qualifications: Experience in finance and strong Excel and PowerPoint skills required.
- Other info: Engage in a dynamic project with opportunities for growth and learning.
The predicted salary is between 13 - 16 £ per hour.
Pareto.AI is collaborating with leading AI research teams on Project Moldavite, an expert-led AI training initiative focused on improving how models generate institutional-quality financial analysis in Excel and PowerPoint.
Finance professionals on this project contribute real-world models and presentations that help AI systems learn accurate financial reasoning, valuation logic, and professional presentation standards across multiple finance domains.
- Create completed financial models and analyses reflecting real workflows used in investment banking, corporate finance, equity research, private equity, credit, and real estate finance.
- Build and refine Excel-based models, including DCF, comparable company analysis, LBO, portfolio analysis, and underwriting models.
- Prepare professional PowerPoint deliverables, such as investment committee decks, valuation summaries, and management-level presentations.
- Apply workflows commonly used across IB, M&A, PE, VC, Corp Dev, FP&A, Credit/FIG, Wealth Management, and Real Estate Finance.
- Produce paired completed outputs and structured inputs used to evaluate AI financial reasoning and presentation quality.
Professional experience in one or more of the following:
- Investment Banking, M&A, Corporate Finance, Valuation, Sell-Side
- Equity Research
- Private Equity, Venture Capital, Growth Equity
- Corporate Development or Strategy
- Credit Analysis, FIG, Regulatory Capital, or Risk
Strong financial modeling and analytical background.
Advanced proficiency in Microsoft Excel and PowerPoint presentations.
Fully flexible schedule.
Expected contribution: 10+ hours per week.
Initial engagement of 4 weeks, with potential extension for high performers.
Submission-based compensation, depending on complexity:
- $150 per approved elementary submission
- $200 per approved intermediate submission
- $275 per approved advanced submission
👉 Apply via the Project Moldavite application form.
NOTE- Candidates would be required to upload a financial model in the screening stage. Please be advised that further communication would be done with only those candidates who clear this stage.
Pareto.AI is a San Francisco-based company connecting trusted human experts with frontier AI research. Our contributors help build datasets that make AI systems more helpful, accurate, and aligned with human values.
Financial Modeling Advisor- (AI research) employer: Pareto.AI
Contact Detail:
Pareto.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Modeling Advisor- (AI research)
✨Tip Number 1
Get your financial models ready! Since you'll need to upload one during the screening stage, make sure it showcases your skills in DCF, comparable company analysis, or any other relevant area. We want to see your best work!
✨Tip Number 2
Practice makes perfect! Before you apply, brush up on your Excel and PowerPoint skills. Create a few mock presentations that reflect real-world workflows. This will not only help you in the application but also in the role itself.
✨Tip Number 3
Network with finance professionals! Reach out to people in investment banking, private equity, or corporate finance. They can provide insights and tips that could give you an edge in your application process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us. Don’t miss out on this opportunity!
We think you need these skills to ace Financial Modeling Advisor- (AI research)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your financial modeling expertise in your application. We want to see your experience with Excel and PowerPoint, so don’t hold back on showcasing your best work!
Tailor Your Application: Take a moment to customise your application for the Financial Modeling Advisor role. Use keywords from the job description to demonstrate that you understand what we’re looking for and how you fit into the picture.
Prepare Your Financial Model: Remember, you’ll need to upload a financial model during the screening stage. Make sure it reflects real workflows and showcases your analytical skills. This is your chance to impress us right from the start!
Apply Through Our Website: Don’t forget to apply via the Project Moldavite application form on our website. It’s the easiest way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Pareto.AI
✨Know Your Financial Models Inside Out
Before the interview, make sure you’re well-versed in the financial models mentioned in the job description. Brush up on DCF, LBO, and comparable company analysis. Being able to discuss these models confidently will show your expertise and readiness for the role.
✨Showcase Your Excel and PowerPoint Skills
Prepare to demonstrate your advanced proficiency in Excel and PowerPoint. Consider bringing examples of your previous work or even a mini portfolio that highlights your best financial presentations. This will give the interviewers a clear picture of your capabilities.
✨Understand the AI Aspect
Since this role involves AI research, take some time to understand how AI can enhance financial modelling. Familiarise yourself with how AI systems learn from human inputs and be ready to discuss how your contributions can improve their accuracy and reasoning.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that test your analytical skills and decision-making in real-world finance situations. Practice articulating your thought process clearly and logically, as this will demonstrate your problem-solving abilities and fit for the team.
