8 дней назад
Senior Quantitative Analyst (AI)
350 000 - 500 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Quantitative Analyst (AI): Developing quantitative models for transaction cost analysis and high-frequency trading with an accent on numerical analysis, statistical modeling, and financial-market data. Focus on applying machine learning and AI to trading, processing quantitative data, and solving complex problems in regulated environments.
Location: New York, NY 10036; willingness to work in New York City required
Salary: $350,000–$500,000 per year
Company
operates in quantitative analysis and trading-related financial services.
What you will do
- Develop quantitative models for transaction cost analysis and high-frequency trading.
- Apply numerical and statistical methods to quantitative research and trading problems.
- Use Python, R, MATLAB, or similar tools for analysis and modeling.
- Collaborate in a fast-paced, intellectually rigorous environment.
- Communicate analytical findings and solutions clearly.
Requirements
- Outstanding academic background with a technical degree from a top-tier university.
- 5+ years of experience in quantitative research, proprietary trading firms, hedge funds, or investment banks.
- Advanced degree in mathematics, statistics, physics, computer science, or a related field.
- Experience working in regulated or compliance-sensitive environments.
- Ability and willingness to work in New York City.
- Strong analytical, problem-solving, and communication skills.
Nice to have
- Experience with machine learning techniques and AI applications in trading.
- Knowledge of financial markets, instruments, and trading infrastructure.
- Familiarity with cloud-based data processing and storage solutions.
- Programming expertise in C++, SQL, or other relevant languages.
Culture & Benefits
- Fast-paced and intellectually rigorous working environment.
- Focus on innovation and continuous learning.
- Equal opportunity workplace committed to diversity and inclusion.
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