What You'll Do
Start your day with interactive betting exercises designed to sharpen decision-making and risk assessment. Dive into daily discussions on market behavior, trading psychology, and quantitative strategies to build a deeper understanding of financial dynamics. You'll tackle real-world quant challenges through structured projects that mirror live trading workflows, using tools like Python, Pandas, and SQL to analyze data and uncover patterns.
Apply your findings in simulated and manual trading scenarios with meaningful position sizes, allowing you to experience market responses firsthand. Use Grafana for real-time monitoring and visualization, and work closely with mentors to refine your approach. You’ll also have the freedom to explore independent ideas, test hypotheses, and present your insights to the team.
Requirements
- Passion for games, betting, or strategic thinking
- Familiarity with Python or another programming language
- Strong interest in cryptocurrency and financial markets
- Ability to communicate clearly and work collaboratively
- Drive to learn quickly in a fast-moving, intellectually demanding setting
Technical Stack
You'll work with Python for data analysis, Pandas for data manipulation, SQL for querying databases, and Grafana for real-time dashboards and monitoring.
Benefits
- Full-day catering including breakfast, lunch, snacks, and fresh fruit
- Travel, accommodation, and visa assistance provided
- Relocation support for European and UK citizens
- Comprehensive onboarding with structured learning modules
- Introductory tasks tailored to accelerate your understanding of quantitative trading
- Opportunity to transition to a full-time role based on performance
- Transparent culture with open access to compensation, bonuses, and trading strategies
- Autonomy, ownership, and direct feedback in a high-integrity environment
