Data ScientistEngineer in Financial Markets

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 usecase Development

• Write welldocumented 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

• 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 realtime analytics is a plus

• Fluency in English