Task information:

As a Data Engineer you will be responsible for:

• Development and implementation of trading and asset allocation strategies to gain an edge in the financial markets.
• Training and tuning ML models.
• Defining data augmentation pipelines.
• Designing new ways to encode training data for feature engineering.
• Deploying models to production.
• Creation of statistical models and strategy implementation.

Requirements:

• At least 3 years of experience as a data engineer or data scientist.
• BSc in computer science, mathematics, statistics, or a related field or a proven track record in the industry.
• Great understanding of Python programming language.
• Programming with R would be considered as an advantage.
• Experience building data feeds using various APIs via REST or Websocket protocols.
• Experience with production systems using tools like Airflow or similar.
• Proficiency with RDBM systems like PostgreSQL or similar.
• Proficiency with linux, git, cloud technologies.
• Basics in Statistics/Data Science.
• Familiarity with Financial market.

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Contacts

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Confidentiality guaranteed. Only selected candidates will be informed.