The Role
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.
Summary Generated by Built In
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
The minimum expected time commitment for this position is 10 hours/week.
Tasks
You’ll be a good fit if you have 2-3 years of experience working at top firms in investment banking and experience in at least some of the following tools:
* Excel, PowerPoint, and Bloomberg will be second nature as you help turn market intelligence into executed deals.
* BAMSEC
* Edgar SEC
* FactSet
* Thomson Reuters Checkpoint
* BNA Tax Portfolios
* AlphaSense
* Accounting Software
* PitchBook
* Capital IQ
* Intralinks
* DealRoom
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
* Are based in Zurich
Benefits
* A front-row seat to how a YC-backed deep tech company is built
* Direct exposure to the inner workings of startup leadership
* Flexible working hours and the ability to shape your role over time
* 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
The minimum expected time commitment for this position is 10 hours/week.
Tasks
You’ll be a good fit if you have 2-3 years of experience working at top firms in investment banking and experience in at least some of the following tools:
* Excel, PowerPoint, and Bloomberg will be second nature as you help turn market intelligence into executed deals.
* BAMSEC
* Edgar SEC
* FactSet
* Thomson Reuters Checkpoint
* BNA Tax Portfolios
* AlphaSense
* Accounting Software
* PitchBook
* Capital IQ
* Intralinks
* DealRoom
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
* Are based in Zurich
Benefits
* A front-row seat to how a YC-backed deep tech company is built
* Direct exposure to the inner workings of startup leadership
* Flexible working hours and the ability to shape your role over time
* 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!
Skills Required
- 2-3 years of experience in finance
- Fluency in English
- Strong analytical and quantitative skills
- Experience with financial models and valuation frameworks
- Based in Zurich
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The Company
What We Do
Lightly is a data-centric AI company that helps machine learning teams build better vision systems by curating and managing vision data. It provides tools for data curation, labeling, and model pretraining to optimize datasets and accelerate AI development.
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