Aktuelle Jobs im Zusammenhang mit Data Scientist/Engineer in Financial Markets - Zürich, Zürich - PROSTAFF Schweiz Llc
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Data Scientist/Engineer in Financial Markets
vor 3 Monaten
A privat Swiss Bank is looking for a Data Scientist/Engineer in Financial Markets.
- Build data infrastructure for Trading Analytics, including Databases and Data Lake
- Develop Machine Learning and Financial models for Trading Execution, Market Making, and Sales
- Ensure data quality, including mining, cleansing, and analyzing large datasets for use-case Development
- Write well-documented production code and algorithms, mainly in Python and Scala
- Create software applications, user interfaces, APIs, dashboards, and automated reports for business users
- Build systems for collection and transformation of large data sets to enable model development
- Understand Machine Learning literature and techniques to mentor team members
- Assist with the execution of Big Data solutions and related technologies
- Present results from AI and Financial models in a proficient manner to stakeholders
- Collaborate with Data Architects, Developers, and Business Developers to jointly meet deadlines
Requirement:
- Master or PhD in a technical field, such as Mathematics, Physics, Engineering, Computer Science, or alike
- 4+ years of work experience as a Data Scientist
- Proven knowledge of Machine Learning and Artificial Intelligence, including Advanced Statistical Analysis, Data Mining, Bayesian Statistics, Reinforcement Learning, and Deep Learning
- Advanced coding skills in programming languages such as Python, R, Matlab, Scala, C++, and/or Java
- Knowledge of Webapp Development, Docker, Kubernetes, Git, and Dash (or similar)
- Knowledge of Data Architecture, Databases (including Oracle, MSSQL, and MongoDB), Data Lakes, and Cloud Computing (e.g. MS Azure or Snowflake)
- Knowledge of PowerBI, Tableau, and VBA
- Knowledge of Mathematical Finance and Financial Markets, including Algorithmic Trading, Financial Derivatives, Portfolio Management, and Dynamic Optimization methods
- Knowledge of Spark, Databricks, Kafka, and real-time analytics is a plus
- Fluency in English
Location:
Zurich
Start date:
ASAP
Syllabus:
100%
Project duration:
Contact person:
Interested? Mr. Sali Zumberi looks forward to receiving your application documents. Apply now:
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