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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
An exciting role for you as Senior Data Scientist within our Analytics & Data Science Lab and close collaboration with its Chief Operating Officer, Financial Crimes Compliance, IT and Operations teams as well as coordination with related organizations within our Bank
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 and flexible working environment
Flexible / agile working options are possible
A PhD or Master's degree in a quantitative field (e.g. Statistics, Mathematics, Physics, Economics), Computer Science or an equivalent education
At least 3-5 years of experience in applying statistical modelling, machine learning and / or exploratory analysis to large datasets: classification, scorecard models, segmentation, clustering, Bayesian statistics, anomaly detection, NLP
Experience in the regulatory risk technologies domain within the financial industry is considered a plus
Proficiency in at least one of the following: Python, R, SQL
Experience using big data platforms including the development of big data pipelines, relational database programming and distributed data processing at scale e.g. Spark or Hive
Familiarity with assembling and analyzing data sets from disparate sources applying quantitative methodologies, computational frameworks and systems
Experience in Financial Crime Compliance or Transaction Monitoring is a plus.
Basic understanding of Transaction Monitoring, AML risk types, Typologies, red flags to be able to speak in the language of the user community
Business fluency in English is required, German is a strong asset
Excellent communication and stakeholder management capabilities, the ability to effectively collaborate and build professional relationships across all organizational levels
Integrity, responsibility and confidentiality required for dealing with sensitive data
Demonstrable experience as a strong, self-starting, standout colleague and independent thinker, willing to co-operate in a highly collaborative environment and contribute to the team's success
Willingness to assume additional responsibilities and to become a respected knowledge carrier within the team
Relevant professional designations (e.g., CFA, FRM, FSA, CIMA or PMP) are considered an advantage
*LI-CSJOB* Ms. Moos would be happy to receive your application. Please apply via our Career Portal.