ABOUT SPEEDINVEST

Speedinvest is a leading early-stage venture capital firm with more than €1.2 billion AuM and 30+ investment managers based in Berlin, London, Munich, Paris, and Vienna. Our dedicated sector-focused teams are the first to fund Europe’s most innovative technology startups and our in-house operational experts are on hand to offer founders ongoing support with growth, HR, market expansion, and more. Bitpanda, GoStudent, Wayflyer, Open, CoachHub, Schüttflix, TourRadar, Adverity, TWAICE and many others are among our portfolio of 300+ companies.
We’re big believers in the potential of technology and data in our investment process. Over the past couple of years, we have actively been building and using technology to source and evaluate investment opportunities. Currently, we are looking to expand our team with a Working Student with a background in Software Engineering and Data who shares our excitement about the mission, demonstrates genuine curiosity and has a hands-on, getting-things done mentality.

YOUR QUALIFICATIONS

• Enrolled in a Bachelor’s or Master’s Degree in Computer Science or Engineering
• Strong knowledge and hands-on experience with Python, NodeJS, SQL and AWS. Experience building ML models is a big plus. Good knowledge of software engineering best practices and the full development lifecycle
• Previous exposure and demonstrated interest in the startups ecosystem
• Self-starter demonstrating genuine curiosity and hands-on, getting-things done mentality. Ability to work independently and in a team environment
• Strong interpersonal skills with an outgoing nature
• Fluent in English

• System enhancement - continuously refine our deal-sourcing engine by improving the architecture, ensuring maintenance, and optimizing scalability to keep our system agile and robust
• Scoring system improvement - extending our evaluation framework of companies and investment opportunities by constantly adding new signals from the market and founding teams. Evaluate effectiveness of current algorithms and continuously fine-tune our models
• Workflow improvements - design and build technology-driven workflows with a user-centric mindset to help incorporate data-driven decisions into our investment process