This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.

Join us as a Behavioural Risk & Applied Empirical Science Audit Manager

• In this key role, you’ll be focussing on driving the adoption of empirical scientific research methods within the Nat West Behavioural Risk team and wider Internal Audit sector
• You’ll be responsible for leading and managing data science and behavioural science colleagues, and you’ll shape and lead high profile evidence-based and data-led pieces of insight, providing assurance to senior executives on our assets and sustainability
• This role offers a great platform to build your leadership profile as you shape a high performing and vibrant team culture

What you’ll do

As a Behavioural Risk & Applied Empirical Science Audit Manager, you’ll collaborate with audit experts to understand critical business assurance and sustainability questions. You’ll work closely with a diverse group of talented and accomplished behavioural and data scientists, identifying opportunities for innovation, gathering resources and owning implementation.

You’ll also:

• Guide more junior colleagues in designing feasible research approaches, as well as in executing and interpreting insights
• Develop and manage effective stakeholder relationships and act as first point of contact when leading reviews
• Stay on top of latest applied empirical science methods and applications, as well as analysis and workflow management technology
• Stay at the forefront of empirical social science behavioural insight, sharing knowledge where possible

The skills you’ll need:

We’re looking for someone with extensive relevant technical and research leadership experience. You’ll hold an academic degree in a social science discipline, with a strong quantitative analysis element, or you’ll have a proven equivalent track record.

You’ll also have 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, as would an understanding of retail banking, financial markets and code development and quality assurance practices such as Git, Git Lab and Git Hub.

In addition to this, we’re looking for:

• Enterprise level coding experience including object-oriented programming, ideally using Python
• Experience in drawing conclusions from different primary and secondary data sources
• Clear, concise and compelling communication skills to inspire others, maintain momentum and ensure work completion
• Experience role-modelling, supporting and supervising through coaching, feedback and development
• The entrepreneurial skills, resilience, drive and enthusiasm to develop your skill set and innovate

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