Job description
An outstanding opportunity to join us as an Experienced Big Data Developer / Data Scientist / Data Engineer to drive and build solutions for our internal customers within a big data platform running Spark. Studying fundamental and high impact business questions that directly affect the direction of the company and the industry at large. Design and develop applications, build minimal viable products, carry out extensive validation with business experts, and operationalize your methods. Your responsibilities include development in an Agile environment, exploration and extraction of insights from large data sets, and presentation of data analysis results to stakeholders in understandable terms.
Your future colleagues
The Chief Risk and Compliance Officer function is a highly visible, dynamic area where you can be an integral part of the decision-making that supports the bank’s business. We drive strategic and sustainable returns, and offer risk, controls and regulatory advice.
You will join a team that is renowned for its dynamic and engaged culture. We believe our colleagues are our best asset. Become part of a highly motivated Analytics team at Credit Suisse and work in an international, demanding environment on the latest innovations in predictive analytics and visualization techniques to pioneer in building the state of the art technologies.
Become part of an open-minded team with a strong team spirit in a collaborative, dynamic, and flexible working environment. We are a department which values Diversity and Inclusion (D&I) and is committed to realizing the firm’s D&I ambition which is an integral part of our global cultural values.
We are looking for a self-starter who is willing to contribute to the team's success. We expect you to be a results-oriented individual who demonstrates integrity, responsibility and confidentiality required for dealing with sensitive data. You will be a good match if you have:
- A PhD or Master’s degree in a quantitative field (e.g. Statistics, Mathematics, Physics, Economics), Computer Science or an equivalent education
- Python and Pyspark proficiency, familiarity with object oriented programming, and experience with analyzing big data sets from disparate sources, applying quantitative methodologies, and using computational frameworks and systems
- Hands on experience in building data warehouse applications on distributed computing systems, designing data pipelines, , and querying structured and unstructured data (SQL vs NoSQL)
- Ability to manage stakeholder to effectively collaborate and build professional relationships across all organizational levels
- Excellent written and verbal communication skills with demonstrated proficiency in English
- Solid know-how in delivering end-user solutions using data visualization tools
- Dedication to fostering an inclusive culture and value diverse perspectives
*LI-CSJOB*
Mr. Albinus would be delighted to receive your application.
Please apply via our career portal.
Your new employer
Find a new home for your skills, ideas, and ambitions. Credit Suisse offers you the ideal environment to progress your career, attractive benefits and excellent training.
We are a leading wealth manager with strong global investment banking capabilities founded in 1856. Headquartered in Zurich, Switzerland, and with more than 45,000 employees from over 150 nations, we are always looking for motivated individuals to help us shape the future for our clients.
Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success. We are committed to building a culture of inclusion with a deep sense of belonging for all of us. We will consider flexible working opportunities where possible. Our bank provides reasonable accommodations to qualified individuals with disabilities, as well as those with other needs or beliefs as may be protected under applicable local law. If you require assistance during the recruitment process, please let your recruiter know.
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