Data Scientist for Transaction Monitoring-Analytics & Data Science Lab 80-100% - Lausanne #136155Switzerland-Switzerland - Western CH-Lausanne |   Full-time (FT) | Corporate Functions | 

Job ID

 136155Legal & ComplianceEnglish

We Offer

 

• The opportunity to become part of our highly motivated Analytics team at Credit Suisse Lausanne focusing on building and driving new and state of the art technologies in various fields


• A meaningful role as Data Scientist in a demanding, dynamic and international environment using the latest innovations in predictive analytics and visualization techniques


• You will get 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 the 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


• Developing and designing algorithms, building prototype versions, running multiple validations with business guides 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

 

• A PhD or Master degree in Computer Science or in a quantitative field (Statistics, Mathematics, Economics), in Data Science or an equivalent education


• Proficiency in at least one of the following programming languages Python, Java, Scala, R and/or SQL.


• Experience with relational database programming and distributed data processing at scale using Spark or/and Hive


• Confirmed Experience in Statistical Modelling (Classification, Scorecard Models, Segmentation, Clustering, Bayesian statistics), Anomaly Detection, and / or Machine Learning algorithms both Supervised and Unsupervised


• Good experience in the regulatory technologies or compliance domain within the financial industry


• Familiarity with crafting and analyzing data sets from disparate sources applying quantitative methodologies, computational frameworks and systems

*LI-CSJOB*



Mrs. E. Rechenmann would be happy to receive your application. Please apply via our Career Portal.