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Quantitative Researcher
250 000$
Описание вакансии
Текст:
TL;DR
Quantitative Researcher: Researching and developing systematic trading strategies across multiple asset classes with an accent on advanced statistical methods, high-frequency data analysis, and algorithmic trading. Focus on designing quantitative models, signal generation, risk management, and portfolio optimization in a fast-paced trading environment.
Location: Chicago, United States (onsite)
Salary: $250,000 + bonus
Company
Leading proprietary trading firm focused on leveraging advanced statistical methods and technology to capture opportunities in global markets.
What you will do
- Research and develop systematic trading strategies across equities, futures, and options.
- Analyze large, high-frequency datasets to identify inefficiencies and alpha-generating signals.
- Design and implement quantitative models for signal generation, risk management, and portfolio optimization.
- Collaborate with traders, engineers, and researchers to refine strategies in a fast-paced environment.
- Conduct backtesting and performance evaluation using robust statistical techniques.
- Stay updated with academic and industry research to drive innovation.
Requirements
- Must have a PhD or Master’s degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or related disciplines.
- Exceptional programming skills in Python, C++, or similar languages.
- Strong understanding of probability, statistics, optimization, and time series analysis.
- Experience in signal generation, statistical arbitrage, or high-frequency trading.
- Ability to thrive in a collaborative, intellectually curious environment.
Nice to have
- Experience at hedge funds, proprietary trading firms, or quantitative research labs.
- Familiarity with real-time data, tick-level analysis, or exchange microstructure.
- Knowledge of machine learning techniques applied to financial data.
Culture & Benefits
- Work with top-tier talent in a meritocratic environment.
- Access to vast data resources and high-performance infrastructure.
- Competitive compensation including base salary, performance bonuses, and benefits.
- Supportive culture valuing innovation, transparency, and continuous learning.