Job description
Job Title: Group Audit - Regional Data Analyst
Location: London
Corporate Title: Assistant Vice President
As Regional Data Analyst you will be a member of our Data Analytics (DA) Centre of Excellence (CoE) for Group Audit. You will pioneer and support Group Audit in implementing innovative and effective analytics processes that are critical to the success of our audit function. You will work embedded in audit teams around the world, applying the latest analytics technologies while connecting with the central team in Germany to leverage our core analytics solutions. You will be responsible for supporting all Group Audit functions with DA services and audit automation solutions.
What we’ll 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:
Competitive salary and non-contributory pension
30 days’ holiday plus bank holidays, with the option to purchase additional days
Life Assurance and Private Healthcare for you and your family
A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits
The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year.
Your key responsibilities:
Evaluate DA requests and work collaboratively with auditors, data owners and developers to deliver working solutions and analytics in an agile and iterative manner
Identify DA 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 DA projects
Promote the adoption and integration of data science whilst applying highest quality standards
Your skills and experience:
Experience and full understanding of standards, methods and algorithms, Big Data (Hadoop, Spark); Data Preparation; Programming (Python, PySpark, Scala); Modelling Packages (Pandas, Spark); Process Mining / Process Analysis / Graph Analysis (e.g., Celonis); Reporting and Visualization (e.g., Tableau, Matplotlib)
Educated to Bachelor’s degree level or equivalent in a quantitative field or equivalent work experience, ideally with experience and understanding in audit functions
Profound Knowledge and understanding of Python, Knowledge of React JS/SQL, container technologies and microservice architectures
International experience, coupled with a familiarity and full understanding of working within DA teams and applying data science techniques as well as developing DA and automation
Goal oriented and structured thinking with effective organizational skills as well as excellent communication skills
How we’ll support you:
Training and development to help you excel in your career
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
About us and our teams:
Deutsche Bank is the leading German bank with strong European roots and a global network.
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.
We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.
