Quantitative Researcher – Discretionary Business

Our clients is a major hedge fund that is growing its Research function supporting its Discretionary Portfolio Managers.

About the Role: Researching and implementing signals, building portfolio optimisation tools, developing behavioural analytics, and building tools to support the investment process – that shape the way in which our portfolio managers invest and trade.

Responsibilities:

• Work closely with discretionary Portfolio Managers to add value to their process through signal development. Become familiar with the markets and sectors they trade.
• Work to optimise our discretionary portfolios, using risk modelling, portfolio construction, and optimisation.
• Backtest and implement signals using both traditional and alternative data sources.
• Follow industry and academic literature for innovations in quantitative strategies (and more generally) and suggest how discretionary PM teams can profit from them.
• Collaborate effectively with team members and communicate complex technical concepts to a less technical audience.
• Stay updated with market trends and continuously seek opportunities for improvement of existing processes and innovation using quantitative methods.
• Help PMs identify and integrate AI tools into their workflow where they add value to research, screening, or decision-making.

Qualifications:

• Exceptional academic background, preferably Maths or Sciences.

Required Skills:

• Ability to explain technical details to a less technical generalist audience.
• Understanding of portfolio construction and optimisation.
• Experience of using equity risk models.
• Strong knowledge of financial markets, including the sector-level and stock-specific drivers of returns.
• Strong knowledge of Python and experience of data analysis techniques along with relevant libraries.
• Previous experience with optimisation packages is a plus.
• Familiarity with credit markets is advantageous but not required.
• Ideally experience in a quant researcher role; direct experience working with discretionary Portfolio Managers is a strong plus.
• Interest in applying AI and LLM-based tools to investment workflows; hands-on experience building such tools is a plus.

Preferred Skills:

• Familiarity with credit markets is advantageous but not required.
• Ideally experience in a quant researcher role; direct experience working with discretionary Portfolio Managers is a strong plus.
• Interest in applying AI and LLM-based tools to investment workflows; hands-on experience building such tools is a plus.

Candidates must have the right to live and work in the UK

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