Senior Quant Trader

Crypto.com; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

An established industry player is seeking a talented individual to join their trading team. In this dynamic role, you will monitor and manage risk while conducting research to facilitate hedging through automated trading infrastructure. You will have the opportunity to improve existing strategies and develop new ones, identifying new markets and performing post-trade analysis. This position requires a strong analytical background, with a Master's or PhD in a quantitative field, along with proven trading experience. If you thrive in fast-paced environments and are eager to take on significant responsibilities, this is the perfect opportunity for you.

Qualifications

• 5+ years of profitable trading experience in a trading desk environment.
• Familiarity with Python and a desire to expand technical skills.

Responsibilities

• Monitor and manage risk during local time zone + weekend shifts.
• Collaborate with quant developers to implement trading strategies.

Skills

Critical Thinking

Organizational Skills

Interpersonal Skills

Adaptability

Attention to Detail

Python

Education

Master’s or PhD in Mathematics

Master’s or PhD in Statistics

Master’s or PhD in Engineering

Master’s or PhD in Computer Science

Job description

Responsibilities

• Monitor and manage risk during local time zone + rotation for weekend shift.
• Conduct research/pricing/execution to facilitate hedging by using our automated trading infrastructure.
• Improving existing strategies and developing new strategies
• Identifying new markets/opportunities
• Perform post-trade analysis of strategies.
• Collaborating with quant developers to implement trading strategies and system features.

Job Requirements:

• Master’s, or PhD in mathematics, statistics, engineering, computer science, or related quantitative analytical field.
• 5+ profitable trading experience on a leading trading desk in a bank, proprietary trading, or market making environment in any asset class.
• Demonstrable experience in successfully building and managing trades.
• Familiar with Python and have a keen interest in expanding your technical skillset.
• Think critically and strive for continuous improvement.
• Excellent organizational and interpersonal skills, with high attention to detail and excellent organization skills.
• Are adaptive, self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments.