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- Develop, implement, and optimize algorithmic trading strategies using Python
- Analyze large financial datasets to identify market trends and trading opportunities
- Collaborate with quantitative analysts, traders, and clients to translate models and requirements into executable code
- Conduct rigorous backtesting and performance evaluation of trading algorithms
- Monitor live trading systems to ensure stability and optimal performance
- Implement risk management protocols within trading algorithms
- Maintain clear documentation and adhere to software engineering practices
- Communicate effectively with traders and clients to gather feedback and provide technical support.
- Bachelor's or Master's degree in Mathematics, Computer Science, Finance, or a related field
- 4-5 years of experience in algorithmic trading or quantitative development within financial services
- Strong proficiency in Python, including relevant libraries (NumPy, Pandas, etc.)
- Solid understanding of mathematical concepts and quantitative methods applied to trading
- Familiarity with financial markets, instruments, and trading workflows
- Excellent problem-solving skills and attention to detail
- Fluency in English and either Italian or French (written and spoken)
- Experience interacting with traders and clients to understand needs and deliver solutions
- Ability to work independently in a fully remote environment and collaborate effectively across teams
- Experience with backtesting frameworks and market data APIs
- Knowledge of additional programming languages such as C++ or Java
- Understanding of risk management techniques in trading systems.
- Competitive salary and benefits
- Fully remote work environment
- Opportunity to work with a dynamic and global team at the forefront of financial technology
Ruolo: Altro
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