Junior ML Quantitative Researcher

Навыки

• Блокчейн
• Анализ данных
• Финтех и платежи
• Machine Learning
• Pandas
• 152-ФЗ / персональные данные
• P&L и бюджет

О компании и продукте

• Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms
• We are looking for an ML Quant Researcher to bridge our machine learning

Задачи

• Serve as the link between ML research output and the trading team: monitor, understand, and translate ML model outputs into trading-relevant signals and features
• Combine ML-derived features with existing trading strategies to improve performance and generate alpha across markets (CME, Japan, China)
• Evaluate feature sets, run experiments, and assess the practical impact of ML signals on strategy PnL
• Collaborate with the trading team to understand strategy requirements and identify where ML can add edge
• Track signal quality over time
• identify degradation, overfitting, or regime changes and propose corrective actions
• Contribute to strategy research and the development of new alpha sources
• research and live trading operations. You will work at the intersection of ML output
• and trading strategy—understanding what the ML team produces, translating it
• into actionable signals, and combining feature sets with trading strategies to
• improve alpha generation. This role is not about deep learning research
• it is about
• applied ML in a trading context, combining analytical thinking with a trader's
• intuition. The ideal candidate is someone who can work independently, takes
• initiative, and is genuinely curious about markets

Требования

• 1–2+ years of experience in quantitative research, ML in trading, or a closely related role
• Solid applied ML skills—classical methods (regression, classification, ensembles, feature engineering) are sufficient
• deep learning is not required
• Ability to combine feature sets and trading strategies at a higher level of abstraction—thinking in terms of alpha, signal quality, and PnL impact
• Strong Python skills
• experience with data analysis and modelling libraries (TensorFlow as a must, pandas, scikit-learn, etc.)

Условия

• An opportunity to work in a modern IT company with a strong engineering culture
• Fully remote work from anywhere in the world, on a flexible schedule
• Compensation for health insurance, sports, professional development, and more
• 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
• Телеграм-бот с вакансиями Вакансии Зарплаты Каталог Работодателям Разместить вакансию Зарегистрироваться Войти Нужна помощь?
• The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc
• We employ a diverse and growing array of algorithmic trading strategies, utilizing both High- and Medium-Frequency Trading approaches

Паспорт вакансии

История публикации

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