Quantitative Researcher

hace 3 semanas


Marbella, Málaga, España Ravenpack A tiempo completo

About RavenPack
RavenPack is a leading provider of big data analytics for financial services. Our clients rely on us for speed and accuracy in analyzing large amounts of unstructured content. We help financial professionals enhance returns, reduce risk, and increase efficiency by systematically incorporating the effects of public information in their models or workflows.

Job Description
We are searching for a Senior Quantitative Researcher to join our Data Science - QIS Team at our Spanish headquarters. As a Senior Quant Researcher, you will participate in the development of new systematic trading strategies and showcase the value of our data for trading and investment purposes across equities and time horizons. Effective communication in English is a must, and European legal working status is required.

Your Responsibilities
As a Senior Quant Researcher, you will join the Quantitative Investment Strategies (QIS) Team, consisting of four quant researchers dedicated to feature engineering and developing systematic trading strategies. Your work will involve bottom-up research, with some top-down research opportunities. You will create white papers to enhance RavenPack's reputation as a thought leader in the alternative data industry and present trading strategies to quantitative analysts. Your responsibilities will include:

  • 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.

What We're Looking For
We are looking for a PhD/MSc in Quantitative or Computational Finance, or from any related fields including Machine Learning, Econometrics, Applied Mathematics, etc. You should have 5+ years of relevant work experience as a quantitative researcher, manipulating large and noisy alternative datasets for features engineering, signal amplification, and portfolio backtesting. You should have 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 is required.

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