Data Scientist for Compliance Analytics - Zürich
Posted on Feb 13, 2019 by
Credit Suisse -
Zürich, Zürich Switzerland
We Offer 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 in predictive analytics 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 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 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 A PhD or Master degree in a quantitative field (Statistics, Mathematics, Economics), Information Technology or an equivalent education At least 3-5 years' 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 Proficiency in at least one of the following: Python, R, Java/Scala, SQL and/or SAS Experience with relational database programming and distributed data processing at scale using Spark or/and Hive Familiarity with assembling and analyzing data sets from disparate sources applying quantitative methodologies, computational frameworks and systems Business fluency in English is required, German is a plus Expertise in text mining and natural language processing is a strong plus Superb communication and stakeholder management capabilities, soft skills, the ability to effectively collaborate, and to build up your professional relationships including senior level executives High integrity, responsibility and confidentiality a requirement for dealing with sensitive data Demonstrable experience as a strong, self-starting standout colleague and independent thinker, willing to cooperate in a highly collaborative environment and contribute to the team's success Willingness to assume additional responsibilities and to become a respected know-how carrier in our team
Ms. M. Moos would be delighted to receive your application. Please apply via our Career Portal.