Data Analytics Role - Internal Audit - BFS

Internal Audit - Data Analytics

- Understands industry-specific data analytics, business intelligence and quantitative analysis techniques and uses this information to ensure the organization's internal controls are effective.

- Defines and implements data analytic standards to ensure Internal Audit's data analytics program is effective and efficient in identifying internal control deficiencies.

- Emphasis on analytics delivery and quality, responsible for partnering across IAS and company to brainstorm, define, design and implement analytics and supporting procedures across projects and critical business areas.

- Reviews and develops detailed data analytics routines, scripts, queries, and procedures that identify potential internal control issues and recommends solutions.

- Manages complex audit engagements and teams in special projects or implementation of initiatives.

- Guides the development of analysis and automation solutions which shape the scoping of complex audits, fraud detection reviews, and internal investigations.

- Employs multiple analysis and automation tools (e.g. SQL Server, Python, Tableau, Power Automate, and Power BI) and audit methods, techniques and approaches for obtaining optimal results.

- Liaises with senior management when communicating data analytic results and associated control recommendations.

- Advises senior personnel within Internal Audit and across the company resolve issues, gain needed information and influence outcomes.

- Manages performance of team through regular, timely feedback as well as the formal performance review process to ensure delivery of exceptional products and engagement, motivation, and development of team.

Required Experience:

- Over twelve years of experience in data analytics, systems analysis, data warehousing and/or audit.

- Experience of data analytics in an audit environment, including experience in the management and/or use of data analytics tools and platforms such as SQL, Tableau, Python, Power BI, Power Automate, Hadoop, Snowflake, and/or Splunk.

- Strong knowledge of the Institute of Internal Auditor's (IIA) International Professional Practices Framework (IPPF) to which the Internal Audit Division's methodology is aligned.

- Experience in a regulated financial services environment

- Knowledge of financial services products, services and regulations.

Skills and Abilities:

- Strong knowledge and experience developing and delivering data analytics and continuous auditing/continuous monitoring programs

- Experience managing data analytics resources, effective team interactions, providing timely and constructive feedback, negotiating issues and resolving problems.

- Superior verbal and written communications skills