Freelance Finance Experts at AI Startup

Lightly AG is an ETH and HSG spin-off pioneering in machine learning and computer vision. Backed by Y Combinator and top-tier investors, our technology is used by global leaders in autonomous driving, medical imaging, and visual inspection. With a small but sharp team in Zurich, we’re looking for analytical and driven Finance Professionals to help us translate complex finance concepts into AI-readable formats. This role suits someone with a background in finance, economics, or engineering with experience in any of the following: Corporate Finance Private Equity / Venture Capital M&A / Investment Banking Asset Management Accounting Estimated project scope of approximately 15 hours/week . Project expected to begin early July . We are launching a project focused on evaluating AI-generated financial analysis and market event reasoning. You'll review AI outputs covering stock price movements, earnings events, commodity dynamics, and cross-market relationships — and assess whether the AI's logic actually holds up. You'll be a good fit if you have experience in equity research, financial analysis, or quantitative finance , and are comfortable with: OHLCV (Open, High, Low, Close, Volume) stock data and price-volume relationships Earnings-driven price movements and market event analysis Commodity markets — energy (crude, natural gas), metals (gold, silver, copper), agriculture (corn, soybeans, wheat, coffee) Cross-channel analysis — understanding how price channels and volume interact Financial news verification — checking whether cited market events actually happened You’re a strong candidate if you: Are fluent in English Have strong analytical and quantitative skills and are confident working with financial models and valuation frameworks Communicate clearly and precisely Work directly with a YC-backed team on cutting-edge AI evaluation projects Competitive compensation tailored to experience and scope of work Send us your CV and a short note about why this role excites you. If you’ve handled similar tasks before, we’d love to hear specific examples. We look forward to hearing from you!