Number of Applicants
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Line of Service
AssuranceIndustry/Sector
Not ApplicableSpecialism
AssuranceManagement Level
Intern/TraineeJob Description & Summary
We believe that challenges are better solved together. That's why you'll join a diverse, global community of solvers - an unexpected mix of people that come together to build trust in society and solve important problems. With us, you are encouraged to lead with your heart and values, and where your unique skills are developed and put to work in unexpected and exciting ways, superpowered by technology.We are looking for suitable candidates with strong academic background in computer science/information systems/ software development in the Financial Services Assurance’s Digital Innovation Garage (DIG) team. You will bring in your knowledge, skills and interest in programming and software development to leverage data and help design and develop solutions that make our financial services audits more automated, data-driven and insightful.
Responsibilities:
You will work as part of DIG to by contributing to the below activities:
Digital solutions:
Support senior team members in gathering business requirements, data requirements, data analysis, and testing for data strategy, data roadmap, and data solution implementation projects.
Support technology and data solution assessments to provide point-of-view and recommendations.
Utilize your academic and/or internship-based exposure to work on digital solution building projects involving the below technical areas:
Strong in at least one of the programming languages (Python / R / Java/C#)
Intermediate to advanced skills in MS Excel (VBA is a strong plus)
Automation tools such as ABBYY, UiPath
Audit innovation and data analytics:
Design and development of data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching that leverages knowledge within data, master data, metadata and technology management.
Deployment of global tools across the Financial Services Assurance practice
Helping audit teams and clients to identify and extract required data from complex IT systems
Work with audit teams to efficiently deliver standard and high-quality data analysis
Analyse complex data including bespoke analysis
Utilize your academic and/or internship-based exposure to work on assignments involving the below technical areas:
Working with relational databases and writing SQL queries
Techniques of predictive analytics, web scraping and Natural Language Processing using Python/R
Using analytical and visualisation software such as Alteryx, Power BI and Tableau to access, transform, integrate, analyse and visualise client data to help solve real problems and provide real business insights through identification of anomalies and unusual patterns and trends in data
Requirements:
Students who are keen to develop themselves in the profession
Are highly motivated, enthusiastic, confident and creative
Have a good co-curricular activities record
Possess strong interpersonal and communication skills
Are service-oriented and committed to teamwork and excellence
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Accounting Policies, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Client Management, Communication, Compliance Auditing, Complying With Regulations, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, External Audit, Financial Accounting, Financial Audit, Financial Disclosure Report {+ 19 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
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