Quantitative Researcher Leader
5 days ago
RavenPack International S.L. offers cutting-edge big data analytics solutions tailored to meet the evolving needs of financial professionals.
We provide our clients with the tools they need to optimize returns, minimize risk, and maximize efficiency by integrating the effects of public information into their models or workflows.
Our extensive network includes the most successful hedge funds, banks, and asset managers globally, who benefit from our expertise and innovative solutions.
Job OverviewWe are seeking an accomplished Senior Quantitative Researcher to join our Data Science - QIS Team at our Spanish headquarters.
This role will involve collaborating with our team to develop new systematic trading strategies and showcase the value of our data for trading and investment purposes, primarily focusing on equities and various time horizons.
Excellent communication skills in English are necessary, both in writing and verbally.
Europan legal working status is required for this position.
As part of our team, you can expect competitive compensation, active mentorship, exposure to top trading firms, and a dynamic working environment.
Your Key Responsibilities- Extract and validate predictive signals from our data, ensuring accurate analysis and efficient decision-making.
- Develop systematic trading strategies that span multiple asset classes, leveraging Alternative Data to enhance security selection capabilities.
- Provide actionable insights, engage in discussions about research, and present findings to leading quantitative researchers and portfolio managers.
- Communicate complex analytical concepts effectively to management, facilitating informed decision-making.
- A PhD/MSc in Quantitative or Computational Finance, or related fields like Machine Learning, Econometrics, Applied Mathematics, etc.
- At least 5 years of relevant work experience as a quantitative researcher, with expertise in manipulating large and noisy alternative datasets.
- Proven track record of developing original research, hypothesis testing, and problem-solving using quantitative methods.
- Strong proficiency in Python and SQL, with enthusiasm for technology and knowledge of big data technologies and machine learning.
$120,000 - $180,000 per year, with relocation assistance available.
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