Quantitative Trader (Fintech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Quantitative Trader (Fintech): Applying analytical thinking and market intuition to pricing, execution, and risk decisions within a proprietary trading team with an accent on probability, game theory, and algorithmic strategy development. Focus on making fast, data-informed trading decisions and continuously improving performance through rigorous post-trade analysis.
Location: Must be based in or able to work on-site in New York, United States
Company
A proprietary trading firm based in New York City specializing in quantitative strategies and market making.
What you will do
- Reason through complex pricing, risk, and execution decisions in real-time.
- Analyze trade outcomes and market behavior using statistical methods.
- Monitor live market data to identify and capitalize on trading opportunities.
- Support the development, testing, and refinement of quantitative trading strategies.
- Collaborate with traders, researchers, and engineers to improve decision-making loops.
- Communicate trade ideas and performance insights clearly within the team.
Requirements
- Final-year student or recent graduate from any degree discipline.
- Strong quantitative, analytical, and problem-solving instincts.
- Comfort with probability, mental math, and competitive strategy games.
- Ability to make decisions quickly and remain calm under pressure.
- Strong attention to detail and a disciplined approach to risk.
- Programming experience in Python or a similar language is preferred.
Nice to have
- Prior internship, research, or trading competition experience.
- Personal projects related to data analysis or algorithmic trading.
Culture & Benefits
- Comprehensive training in trading, market structure, and quantitative strategy.
- Direct mentorship from experienced traders and researchers.
- Exposure to live financial markets and high-quality datasets.
- Collaborative, high-performance environment valuing curiosity and discipline.
- Opportunities for rapid growth based on performance and measurable impact.
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