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.
The role is focused on understanding what happens on-chain, reconstructing blockchain topology, analyzing executed atomic arbitrage transactions, studying competitors, and identifying the signals behind profitable opportunities.
You will work across the research cycle, from generating and testing hypotheses to collaborating with engineers on strategy deployment and monitoring live performance. A key part of the role is understanding where other market participants gain their edge and turning those findings into actionable research and trading ideas.
The team brings together 50+ Quantitative Researchers and Software Engineers who actively share data, findings, and approaches across different trading areas.
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;
- Work on complex blockchain data and atomic arbitrage problems in a highly competitive trading environment;
- Close collaboration with experienced quantitative researchers and software engineers;
- A high level of ownership, with the opportunity to gradually take responsibility for the full research and strategy cycle;
- Private health insurance;
- Regular team events, sports, chess tournaments, and game nights.
What kind of qualifications we are looking for:
- Strong foundation in mathematics, statistics, physics, or another quantitative field;
- Rigorous, data-driven approach to research and hypothesis testing;
- Strong motivation to understand why an opportunity exists and what creates an edge;
- Curiosity about the engineering side of quantitative trading and how data is collected and processed;
- Interest in networking internals, including TCP stack and HTTP requests.
Responsibilities:
- Reverse-engineer blockchain topology and analyze on-chain activity;
- Index and analyze executed atomic arbitrage transactions;
- Generate hypotheses about competitors' strategies and test them against data;
- Identify important market and infrastructure signals and maintain monitoring around them;
- Work with engineers to deploy strategies and monitor their live performance;
- Document and present research findings so other researchers can build on them;
- Identify opportunities for collaboration across internal teams;
- Support the evaluation of opportunities involving external teams.
Nice-to-have Requirements:
- Prior trading experience;
- Competitive mathematics or programming background;
- Ability to write production-grade code;
- Experience with statistical modeling, time-series analysis, or backtesting;
- Experience with distributed systems, particularly low-latency communication.
If you enjoy digging into blockchain data, understanding how competitors build their edge, and turning research into live trading strategies, we would like to hear from you. Apply via our website.



