6 часов назад
Graduate Algorithmic Trader 2027 (Crypto Trading)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Graduate Algorithmic Trader 2027 (Crypto Trading): Developing and improving trading strategies, products, and technology for algorithmic trading systems with an accent on Python, quantitative analysis, high-frequency trading, and liquidity provision. Focus on analyzing large trading and transaction datasets, generating actionable insights, and building solutions that improve trading performance and P&L.
Location: New York, United States; on-site
Company
is a global electronic trading firm providing liquidity and trading solutions across digital assets, prediction markets, equities, commodities, and other financial markets.
What you will do
- Improve existing algorithmic trading strategies and develop new ones.
- Add new trading products and improve the technology supporting trading systems.
- Analyze large volumes of trading and transaction data to generate and prioritize insights.
- Build and test solutions that can directly improve trading performance and company P&L.
- Develop an independent trading desk and product with guidance from experienced traders, developers, and management.
Requirements
- Strong Python skills with 1–3 years of experience gained through work, study, or personal projects.
- Excellent quantitative and analytical skills.
- Strong willingness to learn algorithmic, high-frequency, quantitative, and liquidity provision trading.
- Problem-solving ability and readiness to combine trading, coding, data analysis, and collaboration.
- Entrepreneurial mindset, determination, humility, and willingness to work non-standard hours in a 24/7 crypto trading environment.
Nice to have
- Prior trading knowledge is helpful but not required.
Culture & Benefits
- On-site work from an office in the heart of New York City.
- Informal, non-hierarchical, collaborative, ambitious, and entrepreneurial working environment.
- Accelerated responsibility and ownership compared with traditional finance environments.
- Team meals, celebrations, gaming events, and company-wide team-building activities.
- Performance-based compensation with significant earning upside and medical insurance.
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