4 часа назад
Quantitative Trader / Researcher (Python/C++)
120 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Trader / Researcher (Python/C++): Designing and deploying algorithmic trading strategies using market data, market microstructure, alternate data, and high- to mid-frequency alpha research with an accent on statistical analysis and simulation. Focus on developing data platforms, calibrating exchange simulators, and building reliable backtesting and signal-generation systems.
Location: New York, Chicago, Charleston, Las Vegas, or Miami, United States; hybrid working opportunities available.
Salary: $120,000–$200,000 annual base salary, plus eligible bonuses.
Company
is a quantitative trading firm developing electronic trading infrastructure, algorithmic strategies, and market research technology.
What you will do
- Design, implement, and deploy algorithmic trading strategies.
- Research high- to mid-frequency alpha signals using market, microstructure, and alternative data.
- Build tools and data platforms for pattern discovery and market data analysis.
- Contribute analytical computation libraries supporting research and trading.
- Develop, augment, and calibrate exchange simulators.
Requirements
- Bachelor’s, Master’s, or PhD degree in mathematics, statistics, computer science, or an equivalent STEM discipline.
- Strong background in mathematics and statistics.
- Proficiency in backtesting, simulation, and statistical techniques such as autoregression, autocorrelation, and principal component analysis.
- Strong data-mining and analysis skills, including experience with large datasets and tick data.
- Familiarity with signal generation and statistical models.
- Strong programming skills in Python or C++.
Nice to have
- Experience in quantitative trading.
Culture & Benefits
- Generous paid time off and regional savings plans.
- Free breakfast, lunch, and snacks daily.
- Wellness experiences, fitness-event participation, and reimbursement for selected wellness expenses.
- Volunteer opportunities, charitable giving, social events, and team celebrations.
- Workshops and continuous learning opportunities.
- Collaborative, low-hierarchy workplace with an emphasis on respectful, results-oriented teamwork.
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