OPS Intern

Overview/JD:

Transformation team within (Front to Back bank initiative) is critical part of CB IB Operations & Control focusing on various initiatives which supports priorities of the management board. This team manages initiatives for front-to-back alignment of our key businesses across front office, technology, operations, and other infrastructure functions. You will be responsible for enhancing our controls, supporting our client strategy, and driving future front to back models as well as building relationships with key stakeholders and delivering tangible value.

Deutsche Bank is going through a significant transformation of its front-to-back operations marked as one of the banks top 3 transformation agendas.

You will have the distinction of the being the very first batch of intern class for data sciences / data engineering/ transformation in the CB IB Operations & Control division

Key Responsibilities:

• Be part of the journey of establishing centers of excellence for process re-engineering, automation, and data analytics.
• Analysing data to build repeatable/reusable assets.
• Using data for analysis and driving business outcomes by creating robust data models and joining fragmented data sets
• Analyse/ Describe the data and create recommendations and improvements.
• Execute target operating model strategies for key operational processes, including system architecture, process controls and location strategy.
• Actively partner with various functional leads & teams in execution of front-to-back transformation focused on improving client experience, risk management capabilities and driving efficiency
• Responsibility to be a partner in delivering global process change. Ensure change management is completed in a controlled and robust manner, with rigorous, automated testing and including appropriate business resiliency, audit, and regulatory standards.

Skills and Experience:

• Data analysis & modelling skillset building repeatable/reusable assets; using data for analysis and driving business outcomes; comfortable with data models and joining fragmented data sets.
• Ideally hands-on people who can describe the data and create recommendations and improvements
• Skills for tools such as Alteryx, Tableau along with traditional technical skillsets e.g., SQL database knowledge.
• Describe the data and create recommendations and improvement
• Hands on business and systems knowledge gained in a regulatory delivery environment
• Basic understanding of data security on public cloud
• Basic understanding of Data Quality dimensions like Consistency, Completeness, Accuracy, Lineage etc.
• Microsoft Excel Basic Financial modeling, Analytical Skills, PPT skills
• Communication and relationship building
• Critical problem-solving skills, able to think tactically

Education / Certification/ Skills

• Graduates (Maths/Stats/Econometrics) / Engineers.