Client Optimization, Deutsche Bank

Full Stack Data Scientist

Salary not provided
GCP
Python
Power BI
Senior level
Berlin

Office located in Otto-Suhr-Allee, Berlin

Deutsche Bank

Investment bank and financial services company

Be an early applicant

Deutsche Bank

Investment bank and financial services company

1001+ employees

B2CB2BInvestingTradingFinancial Services

Be an early applicant

Salary not provided
GCP
Python
Power BI
Senior level
Berlin

Office located in Otto-Suhr-Allee, Berlin

1001+ employees

B2CB2BInvestingTradingFinancial Services

Company mission

To be the leading global provider of financial solutions for demanding clients, creating exceptional value for its shareholders and people.

Role

Who you are

  • 5+ years of relevant experience in all aspects of data science projects: from data collection and cleaning to modelling and deployment in enterprise system setting
  • Strong analytics capabilities, understanding the specifics of corporate bank product portfolio is a plus
  • Strong hands-on experience in data architecture, implementing scalable data pipelines and other data engineering / modelling work
  • Proficiency in object-oriented/object function scripting language such as Python, strong understanding of statistics and machine learning
  • Big plus would be to have Google Cloud Platform (GCP) experience
  • Excellent conceptual thinking, experience working in a fast-paced and Agile environment
  • Knowledge of MS365 stack (Dataverse, PowerBI, PowerAutomate) a plus
  • Excellent communication skills and experience in working with distributed teams (especially Germany, the US and India)

What the job involves

  • Client Centricity is one of the key strategic priorities in Corporate Bank and Branch Operations, enabling to steer our efficiency, service excellence and Client Offering Standardisation programme key deliverable
  • This requires stable, reliable, curated, controlled data and tooling that enables business intelligence and services
  • As a full-stack data scientist, you will take full ownership and work on the design and development of enterprise data models that will support the CB Ops client optimization and centricity strategy covering all our products and markets
  • This is an exciting greenfield challenge for architecture and applying ML to get transparency and actionable insights
  • Work closely with senior stakeholders across CB and Branch Operations to design from scratch and implement a data architecture to enable transparency, analytical capability and actions across all our products and process for client optimization and centricity
  • Partner with Service / Backend Engineers to integrate data provided by legacy IT solutions into your designed databases, and make it accessible to the services consuming those data and MI
  • Collaborate with Product Owners and Operations team members in regards to design and implementation of data analytics solutions
  • Build solutions that are highly scalable and can be operated absolutely flawlessly under high load scenarios

Application process

  • End Date: October 9, 2024 (13 days left to apply)

Our take

Despite its roots in the nineteenth century, Deutsche Bank has seen strategic transformation at countless stages to remain competitive. For example, it recently launched Vert, a new digital payments company for SMEs, in collaboration with Fiserv. As a result, the company successfully filled the gap in the market for a user-friendly, all in one solution which would enable merchants to accept payments and manage money.

The company continues to benefit from its scale and reputation. Despite ongoing criticisms, its strong European ties and a global network means Deutsche Bank is well placed to help clients navigate through geopolitical and macroeconomic shifts, something that can’t be said so confidently of its competitors. Today, it operates in circa 60 countries.

Moving forwards, the company is focused on aligning more closely to environmental, social and governance (ESG) criteria to facilitate over €500B in sustainable finance and investments between 2020 and 2025.

Freddie headshot

Freddie

Company Specialist

Insights

Some candidates hear
back within 2 weeks

11% employee growth in 12 months

Company

Company benefits

  • Home office flexible work time
  • Annual leave & more
  • Support & Counselling
  • Health insurance
  • Health Check & Eye Test
  • Sick pay
  • Rewards and everyday benefits
  • Pensions

Company values

  • Integrity
  • Sustainable Performance
  • Client Centricity
  • Innovation
  • Discipline
  • Partnership

Company HQ

Westend-Süd, Frankfurt, Germany

Leadership

Christian Sewing

(CEO, not founder)

Joined Deutsche Bank in 1989, serving in multiple positions including Chief Credit Officer. Became CEO in 2018.

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