pythonstatisticsc++machine learningdeep learningdata miningreinforcement learningtime series analysisbacktestingalgorithmic trading
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$150к-250к/год
$160к$180кмедиана$240к
По похожим ролям (50) ~ $180к/год
На СНГ рынке: $4.2к/мес ($3.3к - $5к)
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Хорошая вакансия
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Высокая оплата, современный стек Python и C++ и исследования с заметным влиянием делают вакансию привлекательной, но требования уровня PhD и широкий круг задач подойдут не всем.
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Высокие требованияСовременный стекХорошая оплатаФинансовые технологииГибридный формат
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Quantitative Researcher (Python/C++): Designing and deploying trading algorithms while researching high- to mid-frequency alpha signals through market data, microstructure, and alternate data analysis with an accent on deep learning, statistical modeling, and quantitative finance. Focus on building backtesting and simulation systems, developing exchange simulators, analyzing tick data, and integrating market intuition into live execution.
Location: New York, New York, United States; hybrid working opportunities available
Salary: $150,000–$250,000 annual base salary, plus eligible discretionary bonus
Company
Quantitative trading firm developing electronic trading infrastructure, market data and research platforms, and systematic trading strategies.
What you will do
Design, implement, and deploy trading algorithms.
Research high- to mid-frequency alpha signals using market data, market microstructure, and alternate data.
Build tools and data platforms for pattern analysis, including large-scale tick-data workflows.
Develop analytical computation libraries supporting market-data analysis and trading.
Develop, augment, and calibrate exchange simulators.
Integrate market intuition and discretionary oversight into live execution.
Requirements
PhD degree or foreign equivalent in Mathematics, Statistics, Computer Science, or a related STEM field.
Deep learning expertise, specifically generative models or reinforcement learning.
Applied mathematics knowledge covering calculus, linear algebra, and optimization theory.
Statistics expertise in areas such as signal processing, advanced time-series analysis, information theory, or statistical arbitrage.
Experience with backtesting, simulation, statistical techniques, data mining, signal generation, and statistical models.
Programming skills in Python and C++.
Culture & Benefits
Hybrid working opportunities.
Generous paid time off and regional savings plans.
Free breakfast, lunch, and snacks daily.
Wellness reimbursements, sports teams, fitness events, and in-office wellness experiences.
Volunteer opportunities, charitable giving, social events, and celebrations.
Workshops and continuous learning opportunities in a collaborative environment.
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