Up to $12k net + PnL share (4–10%, negotiated individually)
Team
- Small, low-bureaucracy team — fast decision-making and rapid hypothesis testing
- Team members from top universities (HSE, MIPT, Skoltech, etc.), many with olympiads / Yandex SHAD backgrounds
- Main office in Serbia + distributed team
Who we are looking for:
We are looking for a strong Senior / Lead-level specialist with experience in ML-driven trading / quantitative research. The ideal candidate can independently generate and validate trading ideas, build research pipelines, and bring strategies into production-ready state.
Requirements
- Proven experience developing profitable trading / ML-driven strategies
- Strong knowledge of Python and ML stack (NumPy, numba, PyTorch / JAX, scikit-learn)
- Strong mathematical / statistical background
- Experience working with time-series / market data
- Experience building, testing, and validating hypotheses / signals / models
- Understanding of trading principles, market structure, and market data
- Experience in quantitative / ML research
Nice to have
- Ability to read, analyze, and optimize C++ code
- Experience with production ML systems
- Experience in HFT / arbitrage / market-making strategies
- Experience working with low-latency systems
- Competitive programming or strong academic background (ICPC, Kaggle, Yandex SHAD, etc.)
- Publications at top-tier ML conferences
- Strong results in ML / DS / Quant competitions
- Experience developing complex ML / DL models
What you’ll do:
- Develop and improve trading strategies
- Build ML / quantitative models for forecasting and signal generation
- Analyze time-series and real-time market data
- Test hypotheses and improve existing strategies
- Optimize algorithm speed and efficiency
- Work with research / backtesting infrastructure
- Potentially help build new directions and grow a team
DeltaEra is a global technology company building systematic trading strategies in cryptocurrency markets through rigorous engineering and mathematics. The product is developed by a distributed, autonomous team, with its core R&D hub and infrastructure unit in Belgrade.
