Job Informationen

Your tasks: You will be expected to lead projects in development and deployment of production-ready applications using machine learning algorithms, such as banking product recommender systems, payment fraud detection, and quantitative decision-support tools and services. Typical projects include the full data science lifecycle, including data extraction from transactional sources and transformation for analytical purpose. You will provide hands-on leadership to projects working with large datasets and extensive timeseries such as financial market data, transactions data and client interaction profiles, employing various statistical and numerical methods to analyse both structured and unstructured data to develop predictive models. As our technology is generally delivered as packaged software or as a service in the cloud, it is important that you are experienced in and can lead others hands-on to perform the software development life-cycle professionally and efficiently. Taking a leading role in consulting to clients is also a part of the job description. You are therefore expected to possess strong communication skills in addition to excellent technical capabilities. Requirements: - University degree in computer science, engineering or comparable numerical fields - Passion for applying technology to solve business problems - Experienced in the financial services industry in either a quantitative or technology role - Experience in project leadership & coordination, client communication (including senior management levels), and successful project delivery - Experience in developing production-ready machine learning applications and setting up data science pipelines - Solid experience with Linux and software collaboration tools: continuous integration (i.e. Jenkins or CircleCI), source control (git, svn), issue management (Jira, Confluence) - Knowledge of multiple programming languages is beneficial (Python, R, Java, Scala) - Substantial experience in applying modern big data tools for scalability and distributed computing (Apache Spark, PySpark, Dask) and data stores (SQL or NoSQL), such as MongoDB and Neo4j - Strong communication skills in English and the ability to make coherent technical arguments; working proficiency in German is a must - Eligible to live and work in Switzerland

Benötigte Skills

• Banken / Finanzgesellschaften
• Projektleitung
• Jira
• Linux
• Python
• Python
• R
• JAVA
• Scala
• Apache
• SQL
• NoSQL
• Englisch