Data Analytics - Internal Audit
- Employer
- Eximius Finance
- Location
- London, United Kingdom
- Salary
- £80,000 - £110,000
- Closing date
- May 23, 2022
View more
- Job Function
- Other
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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My client is not looking for an internal audit SME, although an awareness of risks and controls is beneficial. With an analytical mindset, you will be tasked with defining the structure of various problems, defining what data is required and then producung the analytics. Responsibilities include:
• consider inherent risks and processes / controls and come up with risk scenarios or key risk indicators (KRIs) to monitor for by 3rd lines of defense to identify areas / timing of audit work
• analyze large amounts of data to build KRIs or test key controls / processes in an audit
• work collaboratively across the stakeholders and audit teams to connect the dots for efficient use of data sources, developing risk scenarios and leveraging data analytics (DA) skills
• communicate and promote DA uses and skills within our audit team to support upskilling auditors to use DA in their audits and risk assessments
• present DA results to internal and external senior management, particularly to support / substantiate the level of risks to enhance their understanding and judgment
• consider inherent risks and processes / controls and come up with risk scenarios or key risk indicators (KRIs) to monitor for by 3rd lines of defense to identify areas / timing of audit work
• analyze large amounts of data to build KRIs or test key controls / processes in an audit
• work collaboratively across the stakeholders and audit teams to connect the dots for efficient use of data sources, developing risk scenarios and leveraging data analytics (DA) skills
• communicate and promote DA uses and skills within our audit team to support upskilling auditors to use DA in their audits and risk assessments
• present DA results to internal and external senior management, particularly to support / substantiate the level of risks to enhance their understanding and judgment
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