Senior Research Associate in AI, University of Bristol

Responsibilities:

• The primary focus of this post is to develop AI and machine learning to support and encourage financial stability from the level of individual traders to national and transnational markets.
• The research will leverage a combination of non-traditional sources of data (e.g., social media, news media) and traditional data from financial markets (prices, volumes, etc.) to provide regulators with early warning signals of bubbles/crashes and to protect investors from pathological investment behavior.
• The project will involve collaborating with a range of FinTech stakeholders including providers of MiFID reporting data, retail investment data, and access to synthetic datasets used by the FCA to stress test investment strategies.

Requirements & Skills:

• You are interested in finance and financial systems.
• You have expertise in AI/machine learning theory and applications, ideally related to finance.
• You are fluent in relevant models, techniques, and methods.
• You can demonstrate a high level of analytical capability.
• You have the ability to work effectively in interdisciplinary research settings.
• You are able to collaborate effectively with non-academic stakeholder partners.