Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В Company hidden чётко очерченная инженерная роль с современными C++ и Python, распределёнными системами и работой на стыке с количественной торговлей. Без указанной зарплаты сложнее оценить общее предложение.
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Зарплата не указанаСовременный стекПонятные задачиКоличественные финансыПоддержка развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Research Engineer (Options) (C++/Python/Quantitative Finance): Building trading strategy simulations, large-scale data systems, research interfaces, and production software for systematic financial research with an accent on distributed computation, quantitative modeling, and market algorithms. Focus on accelerating research from strategy prototype to deployment, designing multi-threaded systems, and solving complex software and data engineering problems.
Location: London, United Kingdom
Company
hirify.global is a diversified trading firm using proprietary capital and technology to trade financial and non-traditional asset classes across global markets.
What you will do
Implement research studies, simulate trading strategies, and develop algorithms for financial markets with quantitative researchers and traders.
Design trading strategy simulation software optimized for distributed computation.
Develop large-scale systems for data acquisition, storage, accessibility, and visualization.
Create user interfaces for data exploration and post-trade analysis.
Accelerate the research lifecycle from strategy prototyping to production deployment.
Evaluate new technologies and improve the technology stack.
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
Excellent software development skills in modern C++ and Python.
Strong understanding of object-oriented design, data structures, and algorithms.
Strong understanding of quantitative finance mathematics.
Ability to think, communicate, and code clearly in a fast-paced environment.
Solid understanding of computer systems across hardware, operating systems, memory, and networks.
Experience or skills in multithreaded applications.
Understanding of how to build software for long-term use and broad adoption.
Demonstrated ability to produce algorithmic code in a fast-paced environment.
Culture & Benefits
Autonomous environment with responsibility for technology that directly impacts the business.
Collaboration with experienced technologists, quantitative researchers, and traders.
Mentorship from industry-leading engineers.
Training and continuing education opportunities.
Culture centered on respect, curiosity, integrity, innovation, and challenging consensus.
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