Algorithmic Trading Developer

3 weeks ago

New York, New York, United States Michael Page International Full time
Job Description

As a key member of our team, you will be responsible for designing, developing, and optimizing high-performance trading algorithms. You will collaborate with quantitative researchers and traders to build, test, and implement strategies that can execute trades in multiple asset classes, including equities.

Key Responsibilities:

  • Develop, implement, and optimize algorithmic trading strategies in collaboration with quant researchers and traders.
  • Ensure trading algorithms are optimized for low-latency and high-throughput environments, identifying and resolving performance bottlenecks.
  • Build and run simulations to validate strategy performance, ensuring robust and accurate backtests with historical and real-time data.
  • Develop and maintain the infrastructure required to execute trades, including order management, execution engines, and risk management systems.
  • Work with large-scale datasets from various financial exchanges, integrating market data feeds and ensuring low-latency performance.
  • Ensure the stability and reliability of trading algorithms during live market operations, providing on-call support when necessary.
  • Collaborate with cross-functional teams (quant researchers, data scientists, and infrastructure engineers) to continually improve trading performance.

Requirements:

  • Educational Background: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field. Advanced degrees (MSc, PhD) preferred but not required.
  • Programming Skills: Strong proficiency in programming languages such as Python, C++, Java, or other high-performance languages.
  • Quantitative Analysis: Experience with numerical methods, statistical analysis, and machine learning techniques.
  • Financial Markets Knowledge: Solid understanding of financial instruments and market microstructure (equities, options, futures, FX, or fixed income).
  • Algorithmic Trading Experience: Prior experience developing, testing, and deploying algorithmic trading strategies in a professional setting is highly preferred.
  • Low-Latency Systems: Experience with low-latency systems design and performance optimization.
  • Database Skills: Proficient in working with SQL or NoSQL databases, and experience managing large-scale time-series data.
  • Familiarity with Trading Platforms: Experience with FIX protocol, market data APIs, and trading platforms such as Bloomberg, Reuters, or proprietary systems.
  • Problem-Solving: Strong analytical thinking and problem-solving skills with the ability to debug complex issues in a fast-paced environment.
  • Team Player: Ability to work collaboratively with teams across multiple departments.

What We Offer:

  • Competitive salary with performance-based bonuses.
  • Hybrid working environment in the financial district.
  • Health, dental, and vision insurance.
  • Generous vacation and PTO policy.
  • Learning and development opportunities, including conferences and certifications.

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