The posting
About the Company and Role
We are hiring a Quantitative Researcher for an algorithmic digital asset trading firm operating across CeFi, DeFi, and prediction markets.
This role is for an experienced researcher or trader who has already worked on a profitable prediction markets strategy and is ready to take full ownership of its further development and performance.
You will have access to a low-latency execution stack for Polymarket and Kalshi, strong data infrastructure, capital, and support from an experienced quantitative and engineering team.
The role is built around strategy ownership rather than a narrowly defined part of the research process. We are looking for someone who understands where sustainable opportunities in prediction markets come from and can continue developing and scaling an already proven edge.
Location: Vilnius, Lithuania, full-time, office-based.
We are offering:
- Competitive compensation from €6,000 gross per month, depending on your experience and expertise, plus an uncapped annual performance bonus;
- Full ownership of a prediction markets strategy;
- Low-latency execution infrastructure for Polymarket and Kalshi;
- Access to strong data infrastructure and capital;
- Support from experienced quantitative researchers and software engineers;
- The opportunity to develop and scale an already proven trading approach.
- What kind of qualifications we are looking for:
- Hands-on experience developing or working on a profitable prediction markets strategy;
- A proven strategy track record of approximately $50,000 in monthly PnL;
- Strong understanding of prediction markets and the mechanisms behind sustainable trading opportunities;
- Strong quantitative and data-driven approach to trading;
- Ability and motivation to take end-to-end ownership of a strategy.
Responsibilities:
- Take ownership of a prediction markets strategy and its further development;
- Research new opportunities and improve the strategy based on market data and live performance;
- Use the company's data and execution infrastructure to operate and scale the strategy;
- Monitor results and identify areas for further improvement;
- Work with quantitative researchers and engineers when additional research, tooling, or infrastructure is required.
Nice-to-have Requirements:
- Experience working across both pricing and trading within prediction markets.
If you have already built a profitable edge in prediction markets and want the infrastructure, capital, and ownership to develop it further, we would like to hear from you. Apply via our website.



