A team at a leading $20Bn+ global hedge fund is seeking a Quantitative Researcher to join a high-performing systematic trading group focused on alpha monetisation and portfolio optimisation.
The team is open to candidates from a range of systematic backgrounds, including equities, futures, macro, multi-asset, or statistical arbitrage, provided they have demonstrated experience improving signal monetisation, portfolio construction, execution, or risk-adjusted returns.
The hedge fund provides world-class technology, data, and research infrastructure, enabling researchers to focus on generating alpha and efficiently scaling strategies into production.
Responsibilities
- Conduct research focused on improving monetisation of systematic trading signals.
- Develop portfolio construction, capital allocation, and risk management frameworks to maximise risk-adjusted returns.
- Analyse signal interactions, capacity constraints, turnover, transaction costs, and execution dynamics.
- Collaborate closely with Portfolio Managers, Quantitative Researchers, and Technology teams to deploy strategies into production.
- Contribute to the ongoing enhancement of research infrastructure, modelling frameworks, and portfolio analytics.
Requirements
- 2-10 years of experience in quantitative research at a hedge fund, proprietary trading firm, asset manager, or systematic investment team.
- Demonstrated experience monetising alpha signals through portfolio construction, optimisation, execution, or risk modelling.
- Strong understanding of systematic investment processes and the drivers of strategy performance.
- Advanced degree in Mathematics, Physics, Statistics, Computer Science, Engineering, Economics, or a related quantitative discipline.
- Strong programming skills in Python and experience working with large financial datasets.
- Excellent analytical and problem-solving skills with the ability to operate in a collaborative, fast-paced environment.
If interested, please apply via the link. Due to the high volume of applications, additional time may be needed for suitable applicants to receive a response.
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