2 дня назад
Experienced Quantitative Researcher (AI)
200 000 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Experienced Quantitative Researcher (AI) (high-frequency trading): Building profitable quantitative trading strategies, pricing models, and execution models for US cash equities and futures with an accent on market microstructure, systematic research, and machine learning. Focus on leading researchers, deploying end-to-end high-frequency strategies, and applying high-performance computing to algorithmic trading.
Location: New York office, United States
Salary: $200,000–$225,000 base salary annually, plus annual discretionary variable remuneration.
Company
is a proprietary trading firm built around quantitative research and trading technology.
What you will do
- Identify competitive advantages and develop quantitative strategies that convert them into actionable trading opportunities.
- Lead a team of quantitative researchers.
- Develop pricing and execution models for high-frequency trading.
- Oversee the deployment of profitable end-to-end systematic trading strategies.
- Collaborate with trading and technology stakeholders on strategic initiatives.
Requirements
- At least 5 years of experience in systematic trading.
- Proven track record of profitable high-frequency trading strategies in US cash equities and/or futures markets.
- Strong understanding of financial markets and market microstructure.
- Demonstrated ability to translate modern quantitative methods into profitable trading strategies.
- Experience with large-scale machine learning operations frameworks and high-performance computing.
- Excellent communication skills and experience managing stakeholders across trading and technology.
Culture & Benefits
- Entrepreneurial and quantitative culture.
- Employees are eligible to participate in annual discretionary variable remuneration based on company, group, and individual performance and contribution.
- Base salary ranges are determined using market research and depend on experience, location, and skill set.
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