{"id":162761,"url":"https://alion.io/job/dobyte-quantitative-researcher","title":"Quantitative Researcher","company":{"id":62998,"name":"Dobyte","domain":"dobyte.ru","url":"https://alion.io/company/dobyte","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Moscow, Russia"],"countries":["RU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":60000,"period":"year","method":"role_country_seniority_unknown","sample_n":94},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"C++","optional":true},{"name":"Linux","optional":true},{"name":"Pandas","optional":true},{"name":"Plotly","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-10-28T12:42:01Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-31T09:36:51Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ghost","repost_count":16,"flags":["repost"],"days_open":2},"description":"О компании:\n Дубайт - FinTech компания, специализирующаяся на разработке программного обеспечения для финансовых организаций, применяющих в своей деятельности алгоритмические и высокочастотные стратегии (HFT) на финансовых рынках.\n Мы расширяем нашу команду по разработке и исследованиям на финансовых рынках и ищем Quantitative Researcher с опытом работы в финансовой сфере.\n Обязанности:\n Разработка и оптимизация моделей для прогнозирования финансовых инструментов: Alpha Research, Signal Generation, в том числе с использованием алгоритмов машинного обучения (ML);\n Проведение исследований, связанных с поведением других участников рынка;\n Анализ рыночных данных: Order Flow, работа с временными рядами, поиск скрытых закономерностей;\n Анализ эффективности текущих HFT-стратегий и разработка новых;\n Бэктестинг и адаптация торговых стратегий под текущие рыночные условия;\n Интеграция алгоритмов в торговые системы и их тестирование в реальном времени.\n Требования:\n Будет плюсом: опыт работы в области HFT или алгоритмической торговле от 1 года;\n Высшее образование в области математики, компьютерных наук, физики, инженерии, финансов, экономики или смежных дисциплин;\n Глубокие знания в области математики, статистики, теории вероятности и машинного обучения;\n Опыт работы с Python;\n Будет плюсом: знание библиотек Pandas, Plotly, scikit-learn, XGBoost, С++, Linux\n Будет плюсом:\n Опыт работы с классическими или децентрализованными биржами;\n Навыки программирования C++ для высокопроизводительных вычислений;\n Опыт участия в олимпиадах по математике, программированию, физике, экономике и иным техническим направлениям.\n Что предлагаем:\n Оформление в соответствие с ТК РФ в аккредитованную ИТ-компанию;\n Конкурентную заработную плату по результатам собеседования (оклад + бонусы за результат);\n Гибкий рабочий график (полная занятость в офисе);\n Социальный пакет: медицинская страховка со стоматологией, абонемент в фитнес-клуб;\n Комфортный офис с прекрасным видом в 7 минутах от м. 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