Group Audit

**Details of the Division and Team**:
**What we will offer you**:
A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its center.

**You can expect**:

- Flexible benefits plan including virtual doctor consultation services
- Comprehensive leave benefits
- Gender Neutral Parental Leave
- Flexible working arrangements
- 25 days of annual paid leave, plus public holiday & Flexible Working Arrangement

**Your key responsibilities**:

- 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.
- Promote the adoption and integration of data science into the Group Audit organization and inspire Group Audit colleagues by sharing background on successful adoption.
- Develop and present success stories to Group Audit management and internal stakeholders.

**Your skills and experience**:

- A minimum of 3 years’ 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)
- Working knowledge in data science, big data tools and infrastructural components - GCP/ Hadoop / PySpark / Jupyter Data Preparation (SQL, HQL, ETL, Data Warehouse architecture, OLAP)
- 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’s 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.
- Role is required to be performed on-site at One Raffles Quay office. Relevant vaccination requirement applies _

**How we’ll support you**:

- _Flexible working to assist you balance your personal priorities _
- _Coaching and support from experts in your team _
- _A culture of continuous learning to aid progression _
- _A range of flexible benefits that you can tailor to suit your needs _
- _Training and development to help you excel in your career _

**About us and our teams**:
Deutsche Bank is the leading German bank with strong European roots and a global network click here to see what we do.

**Deutsche Bank & Diversity**

Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.