ML Lead

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