Consultant Data Science

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Responsibilities

  • Implement and deploy data solutions and pipelines using primarily PySpark
  • Implement best practices patterns
  • Engage with stakeholders and take ownership of deliverables
  • Understand business problems and offer technical solutions
  • Improve productivity by using automation where applicable

Preferred qualifications

  • Excellent command of English language
  • Communication: ability to gather requirements from the different stakeholders
  • Ability to demonstrate understanding of the underlying business problem they are trying to address and articulate how their work will help the bottom line
  • Collaboration: Understand the expectations of the teams they are working with. Provide frequent updates on the progress and the potential pain points. Understanding of where the work fits in within the overall business.

What we’re looking for

  • ETL process of transforming the data from a source. PySpark or Pandas preferred
  • Scripting languages: Python, SQL, 2+ years
  • Algorithm and Data structures: understanding of the commonly used algorithms
  • Experience with working in an Agile environment (CI/CD, Code review, Unit tests)
  • Strong problem solving skills

Good to have

  • Knowledge of Financial markets and main assets classes (Equity, Fixed Income)
  • Portfolio Risk Management: Knowledge of the concept of portfolio exposures, performance

What we offer

  • Competitive remuneration package and social benefits
  • Opportunity to learn and enhance your skills
  • Collaboration with highly skilled and friendly colleagues
  • Dynamic and interesting work environment
  • Office perks

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