We Offer Credit Suisse is a leading global wealth manager with strong investment banking and asset management capabilities. Founded in 1856, Credit Suisse has expanded to be a global force employing over 45,000 people in 50 countries. With new leadership, a new strategy and a streamlined global organization, we are set for growth. We partner across businesses, divisions and regions to create innovative solutions to meet the needs of our clients-and to help our employees grow. It is a high priority for us to continually invest in our employees by providing ongoing opportunities for training, networking and mobility. Join us and let's shape the future of Credit Suisse together.
The Analytics & Data Science team is part of Credit Suisse's Digital Transformation and Products Labs Team within Global Compliance. Our work provides decision-makers across the globe with useful metrics, insights, predictions and analytic tools, enabling a data- and technology-driven compliance function. Partnering closely with subject matter experts and stakeholders, we use machine learning techniques to work on solutions for transaction monitoring, client intelligence, employee surveillance and automated reporting.
The opportunity to become part of our highly motivated Analytics team at Credit Suisse Zurich focusing on building and driving new and state of the art technologies in various fields
A challenging role as Senior Data Scientist in a demanding, dynamic and international environment using the latest innovations and visualization techniques
The chance to engage with external companies in automating regulation and compliance to build a state-of-the art regulatory reporting and analytics infrastructure
You will have responsibility for developing, maintaining and extracting knowledge from strategic internal and external data sets
Studying fundamental and high impact business questions that directly affect the direction of the company and the industry at large
You will be developing and designing algorithms, building prototype versions, running multiple validations with business experts and working on their operationalization
Becoming part of an open-minded team with a strong team spirit in a versatile, dynamic, and flexible working environment
Flexible / agile working options are possible
You Offer You offer
University Degree in a quantitative field (like Statistics, Mathematics, Analytics, Economics) or Information Technology
At least 3-5 years' experience in end-to-end data processing and pipeline development
Proficiency in Python, PySpark and SQL is a requirement
Familiarity with assembling and analyzing data sets from disparate sources applying quantitative methodologies, computational frameworks and systems
Experience with big data platform/Hadoop is a huge plus
Business fluency in English is required, German is an advantage
Excellent communication skills and stakeholder management capabilities, the ability to effectively collaborate and to build professional relationships
High integrity, responsibility and confidentiality are important for dealing with sensitive data
Proven experience as a strong, self-starting teammate and independent thinker, willing to cooperate in a highly collaborative environment and contribute to the team's success
Willingness to take on additional responsibilities and to become a respected know-how carrier in our team
Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success.
Ms. M. Moos would be happy to receive your application. Please apply via our Career Portal.
Internal Number: 6223953
About Credit Suisse
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