Senior Quantitative Researcher

hace 3 semanas

Marbella, Málaga, España Ravenpack A tiempo completo
About Raven Pack

Raven Pack is a leading provider of alternative data solutions for the financial industry. With 20 years of experience in big data analytics, we empower our clients to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows.

Job Description

We are seeking a Senior Quantitative Researcher to join our Data Science - QIS Team at our Spanish headquarters in Marbella. As a key member of our team, you will be responsible for developing new systematic trading strategies and showcasing the value of our data for trading and investment purposes.

Responsibilities
  • Participate in the development of new systematic trading strategies
  • Showcase the value of our data for trading and investment purposes
  • Create white papers to enhance Raven Pack's reputation as a thought leader in the alternative data industry
  • Present trading strategies to quantitative analysts
  • Independently work on practical use cases that demonstrate the value of Raven Pack data
  • Identify, validate, and amplify predictive signals within our data
  • Formulate systematic trading strategies spanning multiple asset classes
  • Offer data-driven insights and engage in discussions about research
Requirements
  • PhD/MSc in Quantitative or Computational Finance, or related fields
  • 5 years of relevant work experience as a quantitative researcher
  • Outstanding quantitative, analytical, and problem-solving skills
  • Proficiency in Python and SQL
  • Strong enthusiasm for technology and big data technologies
What We Offer
  • Competitive compensation
  • Active mentoring
  • Exposure to top trading firms
  • Fun working environment
  • Relocation assistance
  • Hybrid work model
  • Free company shuttle bus
About Us

Raven Pack is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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