Empirical Science Lead
3 weeks ago
Job Overview
">We are seeking a highly skilled Empirical Science Lead to join our Behavioural Risk team at CV Library. As a key member of our Internal Audit sector, you will be responsible for driving the adoption of empirical scientific research methods.
">In this role, you will lead and manage data science and behavioural science colleagues, shaping high-profile evidence-based and data-led pieces of insight that provide assurance to senior executives on our assets and sustainability.
">Responsibilities:
">Collaborate with audit experts to understand critical business assurance and sustainability questions.
">Work closely with a diverse group of talented behavioural and data scientists to identify opportunities for innovation, gather resources, and own implementation.
">Guide more junior colleagues in designing feasible research approaches, executing, and interpreting insights.
">Stay up-to-date with the latest applied empirical science methods and applications, as well as analysis and workflow management technology.
">Share knowledge of empirical social science behavioural insight where possible.
">
Requirements:
">Extensive relevant technical and research leadership experience.
">An academic degree in a social science discipline with a strong quantitative analysis element or proven equivalent track record.
">Experience in empirical social science design and execution, covering statistics, causal inference, and data science.
">Knowledge of large-scale business data handling, such as databases and SQL, would be beneficial.
">A strong understanding of retail banking, financial markets, and code development and quality assurance practices like Git, GitLab, and GitHub.
">Enterprise-level coding experience including object-oriented programming, ideally using Python.
">Experience in drawing conclusions from different primary and secondary data sources.
">Ability to role-model, support, and supervise through coaching, feedback, and development.
">
Compensation: £80,000 - £100,000 per annum.
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