Quant Trader

San Diego

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Quant Trader

Department: Quant Team

Employment Type: Full Time

Location: San Diego


Description

We are a successful crypto hedge fund with a seven-year track record of delivering strong returns. Our team leverages cutting-edge technology and quantitative strategies to navigate the dynamic world of crypto trading.
We're seeking a talented Quant Trader to develop, implement, and optimize trading strategies across multiple cryptocurrency exchanges. You'll work closely with our engineering and research teams to turn quantitative insights into profitable trading algorithms. We offer a competitive base salary with a quarterly cash profit share.

Our Ideal Candidate

  • Deep curiosity about market dynamics and drive to improve trading strategies
  • Ability to quickly analyze complex problems and implement effective solutions
  • Strong communication skills for cross-functional collaboration
  • Mindset of continuous learning and adaptation in evolving crypto markets
Key Responsibilities
  • Develop and implement sophisticated quantitative trading strategies
  • Conduct in-depth market analysis to identify trading opportunities
  • Monitor and analyze portfolio performance, making real-time adjustments
  • Collaborate with engineers to improve trading algorithms and infrastructure
  • Perform rigorous backtesting and forward testing of strategies
  • Analyze market microstructure and order flow to refine execution algorithms
  • Implement risk management techniques and portfolio protections
  • Generate actionable insights from cryptocurrency market trends and news
Sample Projects
  • Post-Trade Analysis: Develop and implement advanced post-trade analysis tools to evaluate strategy performance and identify areas for improvement
  • Real-Time Portfolio Optimization: Enhance real-time portfolio optimization and capital allocation algorithms to maximize returns while managing risk
  • Predictive Momentum Model: Implement and integrate a predictive momentum model into existing market-making and taking strategies

Qualifications

  • Bachelor's degree in a quantitative field (e.g., Mathematics, Physics, Computer Science, Financial Engineering)
  • Strong programming skills, particularly in Python
  • Proven track record in quantitative trading, preferably in crypto high-frequency trading
  • Deep understanding of statistical analysis, machine learning, and time series analysis
  • Experience with market microstructure analysis and order book dynamics
  • Familiarity with common HFT strategies (market making, statistical arbitrage, latency arbitrage)
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to work effectively in a fast-paced, collaborative environment
Desired Qualities
  • Experience in cryptocurrency HFT or market making
  • Knowledge of low-latency systems and networking concepts
  • Experience with AWS & Docker
  • Understanding of financial risk management principles

Benefits

  • We offer a competitive base salary along with a quarterly cash profit share to reward performance.
  • Innovation-Driven Culture: Be part of a team that embraces cutting-edge technology and continuous improvement.
  • Career Growth: Opportunities for professional development and career advancement.
  • Collaborative Environment: Work with talented professionals in a supportive and inclusive setting.
  • Competitive Compensation: Attractive salary and benefits package.
What We Offer
  • Work on cutting-edge trading strategies in dynamic crypto markets
  • Collaborative environment with top-tier professionals
  • Continuous learning and development opportunities
  • Flexible work arrangements

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Computer Science Crypto Docker Engineering Machine Learning Mathematics Physics Python Research Statistics Testing Trading Strategies

Perks/benefits: Career development Competitive pay

Region: North America
Country: United States

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