Anson McCade
Quantitative Researcher
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Quantitative Researcher
(3+ Years experience)
I am partnering with a leading global electronic trading company specializing in quantitative and systematic investment strategies across a broad range of financial markets. The firm delivers consistent, uncorrelated returns through a diversified portfolio of research-driven trading strategies, underpinned by world-class scientific research, cutting-edge technology, and a culture of continuous innovation. As a highly data-driven organisation, the firm has developed its own proprietary technology stack, including high-performance trading systems, large-scale data platforms, and advanced computing infrastructure. With offices across major financial centres, it brings together exceptional researchers, technologists, traders, and investment professionals in a collaborative, intellectually rigorous environment. This is an opportunity for an experienced Quantitative Researcher to play a key role in developing and deploying systematic investment strategies, with direct exposure to the investment process and the ability to make a measurable impact on portfolio performance.
As a Quantitative Researcher, you will lead independent research initiatives while collaborating with a highly accomplished team to discover, validate, and implement alpha-generating investment strategies. You'll have the autonomy to explore new ideas, work with unique datasets, and see your research translated into live trading strategies.
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Role/Responsibilities of a Quantitative Researcher:
- Lead quantitative research projects to identify and validate alpha opportunities across global equity markets.
- Own the end-to-end research lifecycle, from hypothesis generation and data exploration through to modelling, backtesting, optimisation, and production deployment.
- Source, evaluate, and integrate alternative and traditional datasets to improve predictive models and enhance investment signals.
- Monitor, analyse, and continuously improve live trading strategies, ensuring robust production performance.
- Partner closely with quantitative researchers, portfolio managers, traders, and software engineers to develop next-generation systematic investment strategies.
- Evaluate strategy performance, challenge existing assumptions, and contribute innovative research that drives investment returns.
- Help shape the firm's research framework by sharing ideas, improving methodologies, and mentoring more junior researchers where appropriate.
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Requirements for a Quantitative Researcher:
- 3+ years' experience in quantitative research, systematic investing, statistical modelling, or a related research-focused environment.
- Master's degree or PhD from a leading university in Physics, Mathematics, Statistics, Engineering, Computer Science, Quantitative Finance, or another highly quantitative discipline.
- Advanced Python programming skills with experience building scalable research and analytical tools.
- Strong grounding in statistics, machine learning, time series analysis, optimisation, and numerical methods.
- Experience working with large, complex datasets and developing robust data pipelines for quantitative research.
- A strong understanding of financial markets and a genuine interest in systematic investing and quantitative trading.
- An intellectually curious and commercially minded researcher who enjoys solving complex problems and taking ownership of high-impact projects.
- Excellent communication and collaboration skills, with the ability to work effectively across research, trading, and technology teams.
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