Senior Quantitative Researcher

hace 3 semanas

Sevilla, Sevilla, España RavenPack A tiempo completo
About RavenPack

We are a leading provider of big data analytics for financial services, empowering our clients to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows.

Join a Company that is Powering the Future of Finance with AI

RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year's Top 100 Next Unicorns by Viva Technology.

Job Description

We are searching for a Senior Quantitative Researcher to join the Data Science - QIS Team at our headquarters in Marbella, Spain. As a Senior Quant Researcher, you will be participating in the development of new systematic trading strategies, as well as showcasing the value of our data for trading and investment purposes across equities mostly and time horizons.

The ability to communicate effectively in English both in writing and verbally is a must. European legal working status is required.

Responsibilities:
  • Identifying, validating, and amplifying predictive signals within our data while discerning and filtering out irrelevant information.
  • Formulating systematic trading strategies spanning multiple asset classes with a major focus on equities, enriching security-selection capabilities with Alternative Data across different holding periods.
  • Offering data-driven insights, engaging in discussions about your research, and presenting trading strategies to leading quantitative researchers and portfolio managers in the field.
  • Effectively communicating intricate analytical concepts to management in a clear and concise manner.
Requirements:
  • A PhD/MSc in Quantitative or Computational Finance, or from any related fields including Machine Learning, Econometrics, Applied Mathematics, etc.
  • 5+ years of relevant work experience as a quantitative researcher, manipulating large and noisy alternative datasets for features engineering, signal amplification, and portfolio backtesting.
  • Outstanding quantitative, analytical, and problem-solving skills, with proven ability to develop original research and hypothesis testing.
  • Demonstrated proficiency in at least Python and SQL.
  • Strong enthusiasm for technology, and familiarity with big data technologies coupled with proficiency in machine learning is highly advantageous.
What We Offer:
  • Competitive compensation.
  • Active mentoring.
  • Exposure to the top trading firms.
  • A fun working environment.
  • Relocation assistance is available.

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

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