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- Tasks: Design and develop cutting-edge financial models for AI-driven analysis.
- Company: Join a leading firm shaping the future of finance with AI.
- Benefits: Earn $100 - $200/hour, flexible hours, and work remotely.
- Other info: Collaborate with top AI researchers in a dynamic, remote environment.
- Why this job: Make a real impact in finance while working on innovative AI projects.
- Qualifications: 5+ years in investment banking or private equity with strong modeling skills.
The predicted salary is between 100 - 200 £ per hour.
This role is for one of our clients.
Compensation: $100 - $200/hour
As a Financial Modeling Expert, you will shape the future of AI-driven financial analysis. In this high-impact, part-time role, you will leverage deep transaction experience to design institutional-grade financial modeling tasks that train cutting-edge AI systems for one of the world’s largest companies.
Key Responsibilities:- Design and develop institutional-quality financial modeling tasks based on real-world investment banking and private equity scenarios.
- Create comprehensive prompts and execution plans, challenging AI systems to build financial models from scratch rather than templates.
- Develop gold-standard reference models and objective evaluation rubrics to assess AI-generated outputs for accuracy, structure, and sound financial logic.
- Build and review advanced transaction-oriented models, including integrated 3-statement models, DCFs (including WACC and sensitivity analysis), LBOs, M&A models, and growth equity frameworks.
- Construct tasks that span specialized deal types such as recapitalizations, carve-outs, and bespoke structures.
- Lead and document in-depth diligence analyses, including unit economics, cohort analysis, and margin driver assessment.
- Collaborate asynchronously with AI researchers, providing clear written explanations for assumptions, methodologies, and modeling logic.
- At least 5 years of recent, hands-on experience in investment banking, private equity, growth equity, hedge funds, Growth Venture Capital or similar corporate development roles.
- Demonstrated expertise in independently building complex financial models from scratch—no templates.
- Mastery of integrated 3-statement modeling, DCFs, LBOs, and advanced transaction modeling.
- Proven ability to perform scenario and sensitivity analyses and assess transaction risk/return.
- Deep transaction judgment and meticulous attention to detail, reflecting institutional standards.
- Exceptional written and verbal communication skills, with a passion for documentation and explanation.
- Self-motivated and comfortable working independently in a high-expectation, remote environment.
- Experience across both sell-side (investment banking) and buy-side (private equity, growth equity, growth VC) domains.
- Familiarity with creating or evaluating technical content, training materials, or assessment rubrics, and handling complex or non-standard transactions (carve-outs, spin-offs, minority investments).
Growth Equity & Venture Financial Modeling Expert employer: Weekday AI
Contact Detail:
Weekday AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Growth Equity & Venture Financial Modeling Expert
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance world and let them know you're on the hunt for opportunities. A personal recommendation can go a long way in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your financial models and analyses. This will not only demonstrate your expertise but also give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex financial concepts clearly and concisely, as communication is key in this field.
✨Tip Number 4
Don't forget to apply through our website! We have some fantastic opportunities waiting for you, and applying directly can help you stand out from the crowd.
We think you need these skills to ace Growth Equity & Venture Financial Modeling Expert
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for this role. Highlight your experience in financial modelling and any relevant projects you've worked on. We want to see how your skills align with the job description!
Showcase Your Expertise: Don’t just list your skills; demonstrate them! Include specific examples of complex financial models you’ve built from scratch. We love seeing your thought process and how you tackle challenges in your work.
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon unless necessary. We appreciate well-structured applications that are easy to read and understand.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Weekday AI
✨Know Your Financial Models Inside Out
Make sure you can discuss your experience with integrated 3-statement models, DCFs, and LBOs in detail. Be prepared to explain how you've built these models from scratch and the thought process behind your methodologies.
✨Showcase Your Transaction Experience
Highlight specific transactions you've worked on, especially those involving recapitalisations or bespoke structures. Use real-world examples to demonstrate your deep transaction judgment and meticulous attention to detail.
✨Communicate Clearly and Effectively
Since this role involves collaborating with AI researchers, practice explaining complex financial concepts in simple terms. Your ability to document assumptions and methodologies clearly will be key, so consider preparing a few examples of your written work.
✨Prepare for Scenario and Sensitivity Analysis Questions
Expect questions that test your ability to perform scenario analyses and assess transaction risks. Brush up on your analytical skills and be ready to discuss how you approach these tasks in your previous roles.