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Quantitative Researcher (Finance)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Researcher (Finance): Developing mathematical and statistical solutions for complex financial-market problems with an accent on forecasting models, large-scale data analysis, and object-oriented programming. Focus on identifying and implementing trading strategies, extracting actionable insights from real-time datasets, and solving challenging research problems alongside traders and engineers.
Location: Onsite in Sydney, Australia
Company
is a global quantitative trading firm that applies scientific research, machine learning, and advanced technology to systematic trading.
What you will do
- Apply mathematics, statistics, and programming to solve complex financial-market problems.
- Research global markets, financial products, and exchange networks.
- Build statistical forecasting models for real-time problems and market insights.
- Identify, improve, and implement trading strategies.
- Collaborate with traders, engineers, and other quantitative researchers on technically challenging research problems.
Requirements
- PhD or equivalent degree in mathematics, physics, statistics, electrical engineering, computer science, operations research, economics, or a related discipline.
- Foundational theoretical knowledge of probability and statistics.
- Demonstrated experience working with large datasets and drawing conclusions from them.
- Strong practical computing skills in object-oriented programming languages.
- Curiosity, creativity, strong problem-solving ability, and a drive to develop innovative approaches.
Nice to have
- Clean and efficient coding practices.
- Python programming experience.
- Previous finance industry experience is not required.
Culture & Benefits
- Collaborative, flat environment with highly technical colleagues.
- Industry-leading technology infrastructure and research resources.
- Extensive training, learning, and development programs.
- Mentorship and cross-collaboration across trading, research, and development teams.
- Opportunity to solve complex technical challenges with real-time impact.
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