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At abrdn, our purpose is to enable our clients to be better investors.
Clients worldwide trust us to find future-fit investment opportunities to deliver the outcomes they want. Our technology and insight help empower them to make better decisions, while the powerful partnerships we build help to enhance the expertise that we offer. And by enabling clients to invest responsibly, it helps us to build a better world.
We have an excellent opportunity for an Analytics Manager to join our Audit Team. This is a 12 month fixed term contract and can be based in Edinburgh or London.
About the Department
Our vision is to put data and analytics at the heart of all aspects of our approach to internal audit, being strategic, efficient, proactive and vocal.
The Data Analytics team can recognise, understand and maximise the value of data analytics to our key stakeholders; the abrdn Board, the Audit Committee, the Business, the Regulators and most directly, the Internal Audit (IA) team. We want to be recognised by our stakeholders and our peers as leading users of data analytics; with data analytics being actively considered for all areas of IA. We want to build a capability that uses data analytics to:
1. Enhance the confidence, objectivity and transparency of our audit work.
2. Capitalise on existing business data to improve understanding of processes and operations.
3. Assess key business activity and change in an independent, timely manner.
4. Create greater insight into the risks and controls environment and activity of the business.
5. Provide better assessments of the impact and root causes of issues identified.
6. Improve the efficiency of all aspects of IA’s activities.
About the Role
Develop data analytics solutions for IA projects to increase access to insight, objectivity of reviews and process efficiency.
Drive adoption of data analytics methodology and use cases within IA’s annual project plan and ad hoc projects by identifying and exploring opportunities to introduce data analytics techniques.
Engage with Lead Auditors and the Business (BU) stakeholders through audit scoping and planning stages to build clear and useful data analytics use cases, prep work and testing plans.
Regularly communicate with Lead Auditors ahead of and throughout audits to ensure that data acquisition, prep work and testing is conducted within appropriate timescales.
Partner with Lead Auditors in interpreting and influencing the outcomes of testing, ensuring audit findings are carefully formulated to mitigate risk and add value.
Develop and nurture data and analytics networks across abrdn PLC.
Document and communicate technical data analytics testing and findings to IA and business stakeholders in clear, understandable language.
Deliver data analytics elements of audits that complement the IA Audit Methodology.
Continually seek opportunities for individual and team development in data analytics methodology, approach, techniques and tools.
Own and proactively advance self-learning activity through professional and personal development.
Build and demonstrably share knowledge in tools and techniques in data, analytics and audit.
About the Candidate Requirements
Extensive experience of working with data and data analytics tools (i.e. Power BI, Power Query, Tableau), techniques (i.e. data mining, modelling and visualisation) and languages (i.e. SQL, Python, R).
Proven ability to demonstrate problem solving capabilities, derive insight from raw data and deliver insightful, value adding reporting and analysis.
Ability to see connections in data, analysis, systems and processes to support delivery of insight to stakeholders and project value.
Ability to engage and influence key stakeholders on data analytics techniques and outcomes in an understandable way.
Ability to adapt and deliver in a fast-moving commercial environment.
Educated to degree level, with relevant experience or professional qualifications.
Excellent written and oral communication skills in any environment.
Experience of risk management frameworks or working in a risk management environment.
Familiar with Risk and Control fundamentals, for example through experience working with or alongside Risk or Audit functions.
Knowledge and experience of the asset and investment management sector or wider financial services.
An understanding of data protection best practices.
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