Empirical Science Lead

3 weeks ago


Edinburgh, Edinburgh, United Kingdom CV Library Full time

Job Overview

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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.

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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.

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Responsibilities:

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  1. Collaborate with audit experts to understand critical business assurance and sustainability questions.

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  2. Work closely with a diverse group of talented behavioural and data scientists to identify opportunities for innovation, gather resources, and own implementation.

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  3. Guide more junior colleagues in designing feasible research approaches, executing, and interpreting insights.

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  4. Stay up-to-date with the latest applied empirical science methods and applications, as well as analysis and workflow management technology.

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  5. Share knowledge of empirical social science behavioural insight where possible.

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Requirements:

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  • Extensive relevant technical and research leadership experience.

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  • An academic degree in a social science discipline with a strong quantitative analysis element or proven equivalent track record.

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  • Experience in empirical social science design and execution, covering statistics, causal inference, and data science.

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  • Knowledge of large-scale business data handling, such as databases and SQL, would be beneficial.

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  • A strong understanding of retail banking, financial markets, and code development and quality assurance practices like Git, GitLab, and GitHub.

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  • Enterprise-level coding experience including object-oriented programming, ideally using Python.

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  • Experience in drawing conclusions from different primary and secondary data sources.

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  • Ability to role-model, support, and supervise through coaching, feedback, and development.

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Compensation: £80,000 - £100,000 per annum.



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