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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