Our Client: A leading financial services company that leverages cutting-edge technology and quantitative research to drive trading strategies.
Job Description:
Were seeking a skilled Quant Developer/Researcher to join our clients team in developing and implementing advanced quantitative models and trading strategies. The ideal candidate will have a strong background in quantitative research programming and data analysis.
Key Responsibilities:
- Develop and implement quantitative models and trading strategies across various asset classes
- Collaborate with traders researchers and engineers to design and optimize trading algorithms
- Conduct research and analysis on market trends data patterns and trading opportunities
- Implement and maintain trading infrastructure ensuring high-performance and reliability
- Work closely with the risk management team to monitor and optimize trading performance
Requirements:
- Advanced degree in Computer Science Mathematics Physics or a related field
- Strong programming skills in languages like Python C or MATLAB
- Experience with quantitative research data analysis and modeling
- Familiarity with machine learning statistical methods and data visualization tools
- Strong understanding of financial markets trading strategies and risk management principles
- Excellent problem-solving skills attention to detail and ability to work under pressure
Nice to Have:
- Experience with cloud-based infrastructure distributed systems and parallel computing
- Knowledge of blockchain technology cryptocurrencies or decentralized finance (DeFi)
- Familiarity with popular libraries like NumPy pandas scikit-learn or TensorFlow
- Experience with data visualization tools like Matplotlib Seaborn or Plotly