Equities Quantitative Researcher
Found in: Appcast Linkedin GBL C2 - 2 weeks ago
We're partnered with a leading buy-side firm renowned for its innovative systematic trading team, dedicated to advancing investment pipelines with machine-driven approaches. They explore beyond finance, delving into mathematics, statistics, and machine learning to achieve their mission. My client is seeking a talented Quantitative Researcher to build trading strategies, requiring a blend of technical expertise, creative problem-solving, and a keen curiosity about financial markets.
Equities Quantitative Researcher - London / Singapore / Hong Kong (Python)
The Role
- Employ a principled, scientific approach to develop equity focused quantitative investment models
- Create automated investment models from internally reviewed research projects
- Collaborate with peers to uncover unique insights into various datasets
- Analyse and optimise the monetisation of forecasts using mathematical tools
- Employ a quantitative approach to measure and manage the risk of portfolio instruments
- Optimise the efficiency of research and trading using scientific methods
The Candidate
- MSc/PhD in a quantitative discipline, such as mathematics, statistics, physics, electrical engineering, computer science, or operations research; from a top tier university
- Experience using mathematical tools in a variety of contexts
- Experience analysing real-world problems and big data with a principled, scientific approach
- Experience in, and a willingness to pursue, the application of machine learning and advanced statistical techniques
- A minimum of 4 years experience in a Quantitative Research position, with a focus on systematic equities trading
- Strong programming ability in Python or C++
Equities Quantitative Researcher - London / Singapore / Hong Kong (Python)
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