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Data Scientist/Engineer (A) in Financial Markets

A privat Swiss Bank is looking for a Data Scientist/Engineer in Financial Markets.
Duration of employment
15.03.2024 - 15.09.2024
Pensum
80-100%
Reference
2863
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Description
Task 
  • 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, 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

Soft Skiills
  • 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 

Your details

Application documents

For this call for applications, we require an English CV. This information should be included in the CV.

CV

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