2 дня назад
Quantitative Researcher
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Researcher (Financial Markets): Applying mathematics, statistics, and programming to develop trading strategies and solve complex real-time problems in global financial markets with an accent on statistical modeling, large-scale data analysis, and quantitative research. Focus on building forecasting models, extracting actionable insights from large datasets, and designing innovative approaches for systematic trading.
Location: Bala Cynwyd (Philadelphia Area), Pennsylvania, United States; onsite
Company
is a global quantitative trading firm using scientific research, technology, and market expertise to develop systematic trading strategies.
What you will do
- Apply mathematics, statistics, and programming to solve complex problems in financial markets.
- Research global markets, financial products, and exchange networks.
- Build, improve, identify, and implement trading strategies.
- Develop statistical forecasting models for real-time problems and market insights.
- Collaborate with traders, quantitative researchers, engineers, and development teams.
Requirements
- PhD or equivalent degree in mathematics, physics, statistics, electrical engineering, computer science, operations research, or a related discipline.
- Foundational theoretical knowledge of probability and statistics.
- Experience working with large datasets and drawing conclusions from them.
- Strong practical computing skills in object-oriented programming languages.
- Creativity, curiosity, and a strong ability to solve complex problems.
- Previous finance industry experience is not required, but interest in financial problems with real-time impact is essential.
Nice to have
- Clean and efficient coding skills.
- Python proficiency.
Culture & Benefits
- Collaborative, flat working structure with highly technical colleagues.
- Access to substantial technology infrastructure and resources from a large proprietary trading firm.
- Extensive training, learning, and development programs.
- Mentorship and cross-collaboration across trading, research, and development.
- Opportunity to solve technically complex research problems with real-time impact.
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