Quantitative Developer Job at Intelliswift - An LTTS Company, El Segundo, CA

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  • Intelliswift - An LTTS Company
  • El Segundo, CA

Job Description

Must Have skills:

Python, C++, or Java

developing and maintaining trading algorithms.

Quantitative Analysis and Statistical Modeling

Financial Markets and Trading Concepts

Data Analysis Tools and Libraries (Pandas, NumPy, and SciPy)

Supplemental” Skills:

Candidates from FAANG companies or top financial firms like Goldman Sachs

Machine Learning and AI Techniques

High-Frequency Trading (HFT) and Electronic Trading Platforms

Cloud Computing and Distributed Systems

Version Control Systems

Detailed Job Description

Job Description: We are seeking a highly skilled Quant Developer to join our dynamic team. The ideal candidate will have a strong background in quantitative analysis, software development, and financial markets. As a Quant Developer, you will work closely with our quantitative researchers and traders to develop, implement, and maintain trading algorithms and models.

Key Responsibilities:

  • Develop and optimize quantitative trading strategies and models.
  • Implement and maintain trading algorithms in a high-performance computing environment.
  • Collaborate with quantitative researchers to backtest and validate trading strategies.
  • Analyze market data to identify patterns and opportunities.
  • Enhance and support existing trading infrastructure and tools.
  • Ensure the reliability and performance of trading systems.
  • Stay updated with the latest developments in financial markets and technology.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related field.
  • Strong programming skills in languages such as Python, C++, or Java.
  • Experience with quantitative analysis and statistical modeling.
  • Knowledge of financial markets and trading concepts.
  • Familiarity with data analysis tools and libraries (e.g., Pandas, NumPy, SciPy).
  • Excellent problem-solving and analytical skills.
  • Ability to work in a fast-paced, collaborative environment.
  • Strong communication skills and attention to detail.

Preferred Qualifications:

  • Experience with machine learning and artificial intelligence techniques.
  • Knowledge of high-frequency trading (HFT) and electronic trading platforms.
  • Familiarity with cloud computing and distributed systems.
  • Experience with version control systems (e.g., Git).

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