Data Analyst for Compliance Analytics
- Employer
- Credit Suisse
- Location
- Zurich, Switzerland
- Salary
- Competitive
- Closing date
- Sep 26, 2019
View more
- Job Function
- Compliance/Regulatory
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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We Offer
You Offer
Ms. Moos would be happy to receive your application.
Please apply via our Career Portal.
- 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 Data Analyst 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
- Documenting data attributes, data feeds and data sources in a concise and succinct way
- 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 Bachelor or Master degree in a quantitative field (Statistics, Mathematics, Economics), Information Technology (University or University of Applied Sciences) or an equivalent education
- At least 2 years of experience in Data Analytics
- Background in statistics, analytics methods and statistic programming tools (SAS, R, Python) and/or a programming language like C, C++, Java, Matlab is a strong plus.
- Due to your experience with relational database programming and complex data pipelines you feel at ease in crafting data sets from disparate sources and analysis using appropriate quantitative methodologies, computational frameworks and systems
- Know-how in distributed data processing at scale using Spark or/and Hive is a plus
- Experience in the regulatory technologies or compliance domain within the financial industry is an asset
- 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 an advantage
- Integrity, responsibility and confidentiality required 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
- Relevant professional designations (e.g., CFA, FRM, FSA, CIMA or PMP) are considered an advantage
Ms. Moos would be happy to receive your application.
Please apply via our Career Portal.
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