Avp - Data Analytics - Singapore - MAYBANK SINGAPORE LIMITED

MAYBANK SINGAPORE LIMITED

Verified Company

Singapore

3 weeks ago

Posted by:

Wei Jie

beBee Recruiter

Job Description:

Responsible to plan, organize and facilitate the development of analytics to generate audit insights, and to ensure Audit team are able to achieve their audit business plan and objectives while improving the internal control processes.
To develop data with Audit team to identify the highest priority needs for datadriven solutions, information required to provide risk and control insights.
To use data analysis techniques and methods, analyzing the relevant data early in the audit process will enable the team to tailor the audit approach and deliver a higherquality audit with more relevant audit evidence.
To perform transaction tests on entire populations rather than limiting testing to samples allows auditors to consider broader sets of audit relevant data and, therefore, produce higherquality audit evidence.
To identify and determine the available data in relevance to the audit objectives and introduce where applicable new objectives in relation to the available data.
Develop sustainable and reuseable Data Analytics procedures to improve the efficiency of audits and coverage.
Participate in Projects and Process Improvements projects and to carry out investigation work as directed by audit management.

Job Requirements:

Bachelor Degree or professional qualifications in Information Technology/Systems, Accounting, Mathematics, Statistic background or other related discipline.
At least 6 years of working experience in related field
Knowledge and skills to use CAATs tools such as ACL, SQL, AS400 query and MS Excel
Strong IT knowledge to support analytics function
Ability to articulate in verbal and written communication skills with strong organization skills to manage multiple tasks simultaneously
Ability and willingness to adapt & keep abreast with the new technologies
Strong analytical & data modelling skill including mining data, interpreting results, working with statistics, trends
Understanding the importance of handling risk and quality on data projects
Result oriented and able to solve problems effectively
Strong interpersonal skills and strategic planning skills