Behavioural Risk & Applied Empirical Science Audit Manager

Cramond Bridge

1 year ago

Applications closed

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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 NatWest 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, GitLab and GitHub.

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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