Job Description

Evaluate data analytics requests and work collaboratively with auditors, data owners and developers to deliver working solutions and analytics in an agile and iterative manner.

• Identify data analytics opportunities and use cases, liaise with audit / investigation teams, and perform any advanced or specialized analytics work.

• Identify automation opportunities and develop solutions that simplify audit processes and make Group Audit more efficient.

• Driving innovation across Group Audit, leveraging the experience gained and data collected from successful data analytics projects. \xe2\x80\xa2 Promote the adoption and integration of data science into the Group Audit organization and inspire Group Audit colleagues by sharing background on successful adoption.

• Apply highest quality standards as your solutions will become an integral part of audit execution processes.

• Develop and present success stories to Group Audit management and internal stakeholders. Your skills and experience:

• A minimum of 3 years\xe2\x80\x99 experience in a Data Analytics function within a financial institution

• Highly proficient with data analytic standards, methods and algorithms, including CI/CD cycle, SDLC/Continuous delivery part of Operation & Maintenance tasks

• Practical coding skills in Python, React/JS. SQL, SQL and supporting infrastructure (e.g. ML / NLP libraries)

• Highly proficient in data analytics tools and applications such as Tableau, Power Query, and Celonis

• Working knowledge in data science, big data tools and infrastructural components \xe2\x80\x93 GCP/ Hadoop / PySpark / Jupyter Data Preparation (SQL, HQL, ETL, Data Warehouse architecture, OLAP)

• Experience in applying data science techniques (advanced analytics, machine learning, statistics, text analysis, NLP, etc.)

• Able to solve real world problems as well as developing data analytics and automation solutions within the operational requirements of a global bank.

• Working knowledge of audit and audit functions within a financial institution

• Goal oriented and structured thinking with effective organizational skills as well as excellent communication skills with the ability to convey complex information in an understandable manner.

• A creative technologist passionate about data and information with an intrinsic motivation and curious to learn new technologies and frameworks to adopt data analytics for new ways of auditing.

• Master or bachelor\xe2\x80\x99s degree (or equivalent) from an accredited college or university (or equivalent) in a quantitative field (Data Science, Mathematics, Statistics, Physics, Engineering, Computer Science, Economics, etc.) or equivalent work experience.

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