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- Conduct research to identify trends and patterns for the development and optimization of systematic trading strategies.
- Analyze large datasets and apply sophisticated statistical methods to discover new trading opportunities.
- Ensure meticulous organization of data and processes while backtesting and improving strategies.
- Collaborate with Quant Researchers to develop mathematical models and algorithms.
- A Master's degree or PhD in fields such as Mathematics, Statistics, Financial Engineering, Operations Research, Computer Science, or Physics.
- Proficiency in Python is essential, C++ experience is a plus.
- Experience with statistical techniques and a strong aptitude for problem-solving.
- Attention to detail, the ability to thrive in high-pressure situations, and a capacity to excel in a fast-paced environment
Quantitative Researcher/ Trader - London, United Kingdom - Anson McCade
Description
We are actively seeking Quant Researchers at both junior and senior levels to join our client's team. In this role, Quant Researchers will combine their curiosity for financial markets with their technical skills to deliver robust results.
Key Responsibilities:
Requirements: