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If you’re looking for a career that will unlock new opportunities, join HSBC and experience the possibilities. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
HSBC Global Internal Audit (GIA) vision and strategy focuses on five key aims:
•To be data led and technology enabled throughout the audit life cycle. •To encourage first and second lines of defence to identify issues.•To have dynamic risk assessment and planning.•To ensure audit activity is focused on the business, process, data and culture.•To attract, develop and retain diverse talent. A programme of transformation has been initiated to support delivery of the vision and strategy.
GIA aims to drive consistency in governance reporting and to streamline Operations processes across global, regional and business audit teams. This will be achieved by consolidating thematic risk reporting and centralising Operations processes in a Centre of Excellence.
Job Purpose:
Based in India, an exciting new opportunity to be proactive; to think strategically; and, to be creative in simplifying and automating the Operations activities of a large global audit function.
You will work with the Global Internal Audit Operations Centre of Excellence Lead to support the continued development of the offshore Operations Centre of Excellence responsible for supporting the smooth and efficient running of the audit function. Including, producing clear, consistent and accurate MI and Governance Reporting for Global Business, Region and Country audit teams.
You will report to the GIA Operations Centre of Excellence Lead , be responsible for supporting with the engagement with all levels of Management, and be able to efficiently and effectively translate requirements into impactful output.
Principle Accountabilities:
•Capturing, analysing and documenting existing business processes (including IT processes).•Designing solutions or change interventions.•Managing change activities which can include diverse tasks such as timeline planning to stakeholder engagement.•Managing, tracking and documenting progress and managing status reporting.•Developing and implementing solutions.•Design, build, and deliver innovative, repeatable data analytics solutions•Implement and follow an agile, iterative, adaptive approach •Develop and follow sustainable processes to support the Audit Analytics operational requirements•Evaluate and implement new tools that will enable Audit Analytics to meet current and future technology needsKey Skills and Abilities:
•Able to communicate effectively at all levels, be confident and be a strong relationship builder.•Possess strong documentation skills and have a high attention to detail.•Comfortable speaking with ‘internal’ clients / customers / users to gather requirements.•Results driven and confident to deliver at speed to deliver efficiently at short notice.•An understanding of risk and control, and previous experience operating in an Internal Audit function or first or second line risk function. •Understand the roles and interests of your clients as a basis for engaging them at the right level, on the right issues and in the appropriate context.•Creativity to transform your client’s reporting requirements into impactful Visualisation.•Be able to think strategically and commercially aware•Strong problem-solving skills including the ability to interpret complex data sets, identify trends and propose actionable insights to improve Audit quality and efficiency•Strong communication and project management skills•Educated to a degree level in computing, information systems, mathematics, quantitative, numerical science or related field or equivalent experience.Ideal, but not essential:
•A broad skill set, with experience in Python, SQL, and producing automated dashboard reporting from a central database and building Qlik dashboards (Python (strongly desirable), QlikSense (desirable), SQL (desirable)).•Track record in designing and implementing advanced data analytics solutions•Experience with machine learning or artificial intelligence would be a plus