Data Science Expert

hace 3 días


Marbella, Málaga, España Ravenpack A tiempo completo

RavenPack is a leading provider of big data analytics for financial services. We rely on our speed and accuracy in analyzing large amounts of unstructured content to enhance returns, reduce risk, and increase efficiency. Our clients include the most successful hedge funds, banks, and asset managers in the world.

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

**Your Role:**
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 primarily 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. You will independently work on practical use cases that demonstrate the value of RavenPack data.

**Responsibilities:*** Identify, validate, and amplify predictive signals within our data while discerning and filtering out irrelevant information.
* Formulate systematic trading strategies spanning multiple asset classes with a major focus on equities, enriching security-selection capabilities with Alternative Data across different holding periods.
* Offer data-driven insights, engage in discussions about your research, and present trading strategies to leading quantitative researchers and portfolio managers in the field.
* Effectively communicate intricate analytical concepts to management in a clear and concise manner.

**Requirements:*** PhD/MSc in Quantitative or Computational Finance or 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.

**Compensation:** The estimated salary range for this position is between $120,000 and $180,000 per year, depending on location and experience. We offer competitive compensation, active mentoring, exposure to the top trading firms, and a fun working environment. Relocation assistance is available.



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