Seeking Finance Professionals with 2-3 years experience to translate finance concepts into AI formats. Role involves analytical skills, fluency in English, and familiarity with various financial tools.
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.
Tasks
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
Requirements
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
Benefits
* 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!
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.
Tasks
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
Requirements
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
Benefits
* 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!
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