Quantitative Developer

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).