Quant Research Lead (ML)

Навыки

• Финтех и платежи
• Machine Learning
• Ответственность за результат
• 152-ФЗ / персональные данные
• P&L и бюджет
• Python

О компании и продукте

• We're looking for a hands-on player-coach role owning the path from ML research to production P&L, and building the firm's junior quant bench. The primary objective is to turn research into deployed, monitored strategies at a predictable cadence – and to turn strong graduates into productive researchers who ship.

Задачи

• Own the idea-to-production pipeline end to end: intake and prioritization, backtest standards, promotion gates, live monitoring and decay reviews
• Build and run a pod of 3–6 junior researchers: participate in hiring, set tasks, review code daily, own development plans and graduation of researchers to trading desks
• Define and enforce validation standards – purged and combinatorial cross-validation, multiple-testing control, leakage prevention – as promotion criteria, not guidelines
• Drive the ML-for-execution agenda with trading desks: fill quality, markouts, queue-aware modeling
• Maintain a personal research contribution every quarter
• Coordinate handoff of graduated researchers and production strategies with desk leads and the production owner

Требования

• 5+ years in quantitative research or trading with a live production track record
• first-hand understanding of the backtest-to-production gap
• 2+ years directly managing 2+ researchers: hiring, task-setting, reviews, at least one hard people decision
• Strong Python and a modern ML stack
• able and willing to review code daily
• Rigorous validation methodology as a working habit, not theory
• A teaching or mentoring track record is a strong plus
• Futures and market-microstructure experience is a plus
• English – B2+

Условия

• Working in a modern international technology company without bureaucracy, legacy systems, or technical debt
• Excellent opportunities for professional growth and self-realization
• Remote work from anywhere in the world, with a flexible schedule and assistance with relocation
• Compensation for health insurance, sports activities, and non-professional training

Паспорт вакансии

История публикации

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