Data Scientist (A) Financial Markets

We are supporting a Swiss private bank in the Zurich area in their search for an Data Scientist in Financial Markets.Bitte beachten Sie, dass wir aufgrund der geltenden schweizerischen Gesetzgebung ausschliesslich Bewerbungen von Schweizer Staatsbürgern, EU-Bürgern sowie Personen mit gültiger Arbeitserlaubnis berücksichtigen können. 

Eine Remote-Tätigkeit aus dem Ausland ist nicht möglich.

Tasks:

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

Requirements


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, MS-SQL, and MongoDB), Data Lakes, and Cloud Computing (e.g. MS Azure or Snowflake)
Knowledge of Power BI, 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
Familiarity with Agile framework, including Jira, is a plus
Fluency in English

Soft Skills


Collaborative, team player, open minded, and easy to work with
Proficient presentation skills and high attention to detail
Able to explain technical results to non-technical audiences