We are working with a London based buy side firm looking to hire a Quantamental Investment Analyst into a sophisticated equity long/short strategy combining fundamental investment judgement, systematic research, data and AI.

This is an influential role working directly alongside the lead investor, helping determine what information genuinely matters, how it should be interpreted and what it means for individual stocks and the wider portfolio.

The successful candidate will not be hired simply to produce traditional equity research. Instead, they will sit at the intersection of fundamental investing, market intelligence, data and technology — helping turn large volumes of information into clear, actionable investment insight.

The role requires somebody who understands not only companies and markets, but also how information should flow through an investment process. That includes assessing the quality of data and research, identifying what is relevant to a decision and helping improve the systems and processes used to support the investment team.

This is not a pure technology role and it is not a traditional research seat. The client is looking for a genuine markets person with strong fundamental judgement, a structured approach to information and a high level of comfort using AI and data as part of the investment process.

Key responsibilities will include:

1. Producing high-quality research on individual companies and market developments
2. Forming clear views on what is driving equity markets and why it matters
3. Assessing the relevance and likely market impact of new information as it emerges
4. Monitoring existing investment theses, catalysts and changing risk/reward dynamics
5. Supporting analysis across both long and short positions
6. Reading and interpreting broker research, company announcements, earnings and market commentary
7. Turning large volumes of news, research and data into concise and useful outputs for the lead investor
8. Helping prioritise information based on what is genuinely relevant to investment decisions
9. Supporting the development and refinement of proprietary stock-screening tools
10. Using AI-assisted research, systematic screening and data analysis to improve idea generation and decision-making
11. Helping determine which datasets, research inputs and information sources should be incorporated into the investment process
12. Assessing whether data is being ingested and processed effectively and whether the quality of the output is sufficient
13. Working closely with engineering and technology colleagues to improve research workflows, data pipelines and internal investment tools
14. Helping ensure that investment information is structured, consistent and easy to act on

We are looking for candidates with:

1. Significant experience within equities, ideally in a hedge fund, asset manager, equity research or comparable markets environment
2. Strong fundamental understanding of companies and the drivers of share prices
3. The ability to form independent views rather than simply report the views of others
4. Strong understanding of equity markets, including macro, rates, flows, positioning, sectors and factors
5. The ability to distinguish genuinely important information from market noise
6. Excellent judgement around the quality and relevance of research and data
7. A highly structured and analytical approach to investment research
8. Strong written and verbal communication skills
9. Comfort working with large quantities of information under time pressure
10. A technically curious and data-driven mindset
11. Experience using AI tools as part of research or investment workflows
12. An understanding of how technology and automation can improve the investment decision-making process
13. Strong commercial judgement and an investor-first mentality

Candidates are likely to have built their experience within a hedge fund, sophisticated asset manager, investment bank or comparable institutional investment environment and should have spent meaningful time close to live markets and investment decisions.

The opportunity should particularly appeal to somebody who enjoys fundamental investing and markets but also believes the traditional research process can be materially improved through better use of data, technology, and AI.

You will have significant exposure to the lead investor and considerable influence over how research is conducted, information is prioritised and the overall investment process develops.

For the right individual, this offers the opportunity to become a central part of a growing investment team and play an important role in building a modern, technology-enabled equity investment platform.

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