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Вакансия опубликована 9 дн. назад - шансы на ответ снижаются.
обновлено 10 дней назад
Quant Research Lead (ML)
9 000 - 12 000$
RUВакансия из Hirify RU, списка российских tech-компаний
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Описание вакансии
Текст:
TL;DR
Quant Research Lead (ML) (quantitative trading and machine learning): Turning quantitative research into deployed, monitored trading strategies while building and managing a junior quant research pod with an accent on rigorous validation, production P&L, and execution modeling. Focus on enforcing backtest promotion gates, preventing leakage and multiple-testing errors, modeling fill quality and queue-aware execution, and developing researchers into productive trading desk contributors.
Location: Remote work from anywhere in the world; flexible schedule with assistance with relocation.
Salary: $9,000–$12,000 per month net.
Company
Technology-driven trading firm operating across strategy research, machine learning, and low-latency execution infrastructure.
What you will do
- Own the end-to-end idea-to-production pipeline, including research intake, prioritization, backtest standards, promotion gates, live monitoring, and strategy decay reviews.
- Build and manage a pod of 3–6 junior researchers, including hiring, task setting, daily code reviews, development plans, and progression to trading desks.
- Define and enforce rigorous validation standards covering purged and combinatorial cross-validation, multiple-testing control, and leakage prevention.
- Drive ML-for-execution initiatives with trading desks, including fill quality, markouts, and queue-aware modeling.
- Maintain a personal research contribution each quarter and coordinate the handoff of researchers and production strategies to desk leads and the production owner.
Requirements
- 5+ years of experience in quantitative research or trading with a live production track record.
- 2+ years of direct management experience with at least two researchers, including hiring, task setting, reviews, and a difficult people decision.
- Strong Python skills and experience with a modern ML stack, with the ability and willingness to review code daily.
- Practical experience with rigorous validation methodology and understanding of the backtest-to-production gap.
- English: B2+ required.
Nice to have
- Teaching or mentoring experience.
- Futures and market-microstructure experience.
Culture & Benefits
- Work in a modern international technology company without bureaucracy, legacy systems, or technical debt.
- Remote work from anywhere in the world with a flexible schedule.
- Assistance with relocation.
- Compensation for health insurance, sports activities, and non-professional training.
- Opportunities for professional growth and self-realization.
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