Responsibilities
- Investigate, preprocess, and organize extensive financial data sets for analysis
- Develop and rigorously validate components of new or existing quantitative models and trading strategies
- Support the creation and enhancement of internal research tools and technical infrastructure
- Conduct statistical evaluations and generate visual representations to validate research outcomes
- Analyze decentralized finance (DEFI) protocols by reconstructing core models to evaluate performance, risk exposure, hedging approaches, and portfolio integration
- Track real-world performance of deployed models, perform return attribution, and recommend refinements
- Keep current with academic research, market developments, and technological innovations in quantitative finance and blockchain data science
Requirements
- Bachelor’s or Master’s degree in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, or Engineering
- Up to 2 years of professional experience
- Proficient in Python programming and experienced with data analysis libraries including NumPy and pandas
- Strong grasp of probability theory, statistical methods, and linear algebra fundamentals
- Capable of working autonomously and collaboratively in team settings
- Clear and effective communication skills, particularly in conveying complex technical ideas
Nice to Have
- Background in cryptocurrency markets, blockchain systems, or decentralized finance (DEFI)
Benefits
- Competitive base salary with performance-linked bonus structures
- Flexible corporate benefits package with customizable options
- Positive, engaging, and relaxed workplace culture
- Continuous learning and professional development opportunities
- Access to networking events and corporate gatherings
- Potential for international career progression
Compensation
Competitive salary & performance-based bonus programs
Work Arrangement
Remote (Worldwide)
Team
Team size: over 700
Languages
English proficiency is required; knowledge of Russian is advantageous
Other
Candidates in Asia or the Americas time zones are preferred to help maintain round-the-clock market operations
