1 день назад
Quantitative Researcher (Systematic Trading)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Researcher (Systematic Trading): Analyzing market data and building statistical valuation, return, and trading models with an accent on systematic trading research, optimization, and scalable quantitative platforms. Focus on testing market-behavior hypotheses, formalizing trading algorithms, calibrating models, and taking research methods from data extraction through reporting.
Location: Flexible for the right candidate; Hong Kong or New York preferred. Hybrid working opportunities are available.
Company
is a global quantitative trading firm developing systematic trading strategies, electronic trading infrastructure, and research platforms.
What you will do
- Analyze large datasets from diverse sources to form and test hypotheses about market behavior.
- Research and build statistical models for financial instrument valuation and returns.
- Formalize and implement trading strategies and algorithms by solving relevant optimization problems.
- Build robust, scalable quantitative research methods, tools, and platforms.
- Support the full research pipeline, from data extraction and analysis through model calibration and reporting.
Requirements
- Research-oriented academic background in mathematics, machine learning, computer science, physics, or a related quantitative field, equivalent to a research-focused master’s degree or preferably a PhD.
- Strong quantitative research experience in systematic trading, including idea generation, research, deployment, and production analysis.
- Track record of delivering impactful research results.
- Strong programming skills in Python or C++, ideally in both scripting and lower-level languages.
- Ability to communicate clearly and effectively at both high level and technical detail.
Culture & Benefits
- Generous paid time off policies.
- Regional savings plans and financial wellness tools.
- Daily breakfast, lunch, and snacks.
- In-office wellness experiences, wellness expense reimbursement, sports teams, and fitness events.
- Volunteer opportunities, charitable giving, social events, and celebrations.
- Workshops and continuous learning opportunities in a collaborative, low-hierarchy environment.
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