Germany
Siemens
EY
Data Scientist / Analyst Audit-Related Consulting (Financial Services) (f/m/d)
Germany
Eschborn, Hesse, Germany
JavaScriptPythonJavaSQLC#
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About the opportunity
Are you ready to shape your future with confidence?
Making the world a little better every day together. For this claim, we at EY set everything in motion and go "all in" as a team. After all, we have a clear goal in mind: to create sustainable value and growth – for our clients, employees, and society as a whole. Our global network of around 400.000 employees worldwide offers you every opportunity to grow, develop, specialize, and pursue your strengths and interests professionally. We believe that the right career path is as individual as you are.
Our Financial Services division focuses on financial services and supports banks, insurance companies, and asset managers in being successful in an ever-changing and fast-paced world.
Your Responsibilities
In the area of financial accounting advisory services, interdisciplinary teams work within the scope of balance sheet, regulatory, and market-related requirements, developing tailor-made solutions for our clients in a holistic manner. You will strengthen us in Frankfurt/Main with balance sheet, supervisory law, and/or quantitative expertise to develop and implement innovative ideas for our clients. In doing so, you will take on diverse tasks: *
- Together with quantitatively trained colleagues, you will advise and audit national and international companies in the financial sector. *
- You will develop creative solutions for utilizing untapped data potential, including in the area of Risk Analytics (e.g., automation, data visualization, and the use of Machine Learning). *
- You will develop global cloud-based services for quantitative issues, for example, for the valuation and analysis of large portfolios of financial instruments. *
- You will model and automate complex business relationships using appropriate data and analysis methods. *
- You will support accounting and risk management in the data-driven further development of their processes and models.
Your Skillset *
- You have successfully completed a degree with a quantitative focus, for example in mathematics, statistics, physics, or computer science, and have experience in data analysis, ETL processes, data mining, machine learning, or data visualization. *
- You are proficient in at least one programming language, such as Python, R, C#, Java, or JavaScript, or a database system like SQL, SAS, or MongoDB. *
- Ideally, you have gained initial practical experience through an internship or working student position. You communicate in both German and English at at least a C1 level.
Your Mindset *
- Agile: You believe that a flexible mindset is just as important for success as knowledge and skills. *
- Curious: You are ambitious and dedicated. We are looking for people who see opportunities rather than challenges and find better solutions through targeted questions. *
- Team-oriented: You value diverse perspectives and enjoy working in a team. We are looking for people who want to achieve something together with us and create a trusting work environment.
Your Benefits
At EY, you work in high-performing, interdisciplinary teams with innovative technologies. In a flexible and inclusive work environment, we support you in your various life situations. Inspiring colleagues as well as training and development opportunities on and off the job help you to grow beyond yourself and further develop the skills you will need in the future. A steep learning curve is guaranteed. More about our benefits ey.com/de_de/careers/corporate-benefits.
Apply today!
You can find more information about the application process at EY on our career page ey.com/de_de/careers/how-we-hire.
You can find more information about Financial Services here ey.com/en_gl/careers/financial-services.
You can find out what others say about us on kununu kununu.com/de/ernst-young and Glassdoor glassdoor.de/Bewertungen/EY-Bewertungen-E2784.htm.
At EY, we live diversity and welcome all applications. Please let us know in advance if we can support you with a barrier-free application process.
Do you still have questions? Our Recruitment Center will be happy to answer them at +49 6196 996 10005.
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