ML Quantitative Researcher

Навыки

• Финтех и платежи
• Machine Learning
• Pandas
• 152-ФЗ / персональные данные
• Polars / Dask
• Python
• SOLID и паттерны

Задачи

• Formulate and test hypotheses about market inefficiencies - and stay honest when the backtest says no
• Think ahead about how model predictions will be integrated into trading - directional bets, spread convergence, or something else
• Design features with genuine predictive power, from classical statistical transformations to learned representations
• Every feature is a hypothesis about the market encoded in a number, and you own the quality of that input
• Work with alternative data, time series, and nonlinear dependencies to find signal in places others overlook
• Build data pipelines that work reliably in production, not just in a notebook

Требования

• Deep ML understanding, not just knowing the APIs, but having a clear sense of why gradient boosting tends to outperform transformers on tabular data, when a Bayesian approach beats a frequentist one, and what information leakage looks like in a time series context
• Proven hands-on experience with both deep learning and gradient boosting frameworks – a strong conceptual understanding of neural network internals is essential
• Serious attention to data leakage
• In finance, the future bleeds into the past in non-obvious ways, and you need to spot these issues before they invalidate a backtest
• Solid math background: statistics, probability theory, stochastic processes
• Solid Python skills. Experience with pandas, Polars, or streaming data processing is a plus
• A statistical mindset: you don't just apply methods, you understand their assumptions, limitations, and failure modes
• Professional English proficiency at B2-level or above

Будет плюсом

• Graduate of SHAD or a similar top-tier technical or quantitative program
• Background in competitive mathematics, physics, or computer science olympiads
• Demonstrated performance in Kaggle or other ML competitions
• A proven Fintech global company with an advanced stack and decade of successful trading experience is developing a proprietary platform to trade thousands of instruments across dozens of markets
• The recruiter will disclose all details in person immediately upon response

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