Responsibilities
- 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 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
- Assist with the execution of Big Data solutions and related technologies
- Present results from AI and Financial models to stakeholders
- Collaborate with Data Architects, Developers, and Business Developers to jointly meet deadlines
Requirements
- Several years of 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 (e.g. in Python, R, Matlab, Scala, C++, Java)
- Knowledge of Webapp Development, Docker, Kubernetes, Git, and Dash (or similar)
- Knowledge of Data Architecture, Databases (Oracle, MSSQL, 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
- Fluent in English
Nice to have
- Knowledge of Spark, Databricks, Kafka, and real-time analytics
Personality
- Good communication and presentation skills
- Team player and service-oriented personality
- Structured working style
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