Job Description: What you'll do: Evaluate and provide analytics solutions to auditors to identify potential risk, anomalies, detect outliers and identify weaknesses in control activities using analytical tools like SQL and Python.
Develop and maintain interactive dashboards using Tableau that effectively convey meaningful insight and track key metrics.
Communicate findings and insights to stakeholders including Senior Management that support informed decision-making processes and effectively drive business strategy.
Collaborate closely with auditors, data owners, and subject matter experts to understand business requirements and translate them into analytical solutions in an agile and iterative manner.
Proactively identify automation opportunities and develop solutions that simplify audit processes and make Group Audit more efficient.
Drive 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.
Apply the highest quality standards as your solutions will become an integral part of audit execution processes.
Support upskilling of auditors to gain competencies in data analytics methods to transform Group Audit into a data-driven function.
Skills you'll need: Ideally first-hand experience in Audit function specifically in risk management and compliance focusing on data analytics and reporting.
Master or bachelor's degree (or equivalent) from an accredited college or university in a quantitative field (Data Science, Mathematics, Statistics, Physics, Engineering, Computer Science, Economics, etc.)
or equivalent work experience.
Possess at least 5 years of relevant experience.
Proficiency in SQL and Python for data analysis.
Proficiency in reporting and visualization using Tableau.
Hands-on experience in ETL and data warehouse, Hadoop, Hive/Impala.
Familiarity with GCP services and tools, Openshift, CDSW.
Familiarity with Sentiment Analysis and Natural Language Processing (NLP).
Excellent verbal and written communication skills with the ability to convey complex information in a clear and concise manner to Senior Management, Audit committees, and other stakeholders.
Strong problem-solving and analytical skills to interpret complex data and derive actionable insights.
A creative technologist passionate about data and information with an intrinsic motivation and curiosity to learn new technologies and frameworks to adopt data analytics for new ways of auditing.
We strive for an environment in which we are empowered to excel together every day.
This includes acting responsibly, thinking commercially, taking initiative, and working collaboratively.
Together we share and celebrate the successes of our people.
Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair, and inclusive work environment.
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