Senior Quantitative Researcher
hace 1 semana
About RavenPack
RavenPack is a leading provider of big data analytics for the finance industry. We empower our clients to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Our team is at the forefront of developing the next generation of generative AI tools for the finance industry and beyond.
Job Summary
We are seeking a Senior Quantitative Researcher to join our Data Science - QIS Team at our Spanish headquarters in Marbella. 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. The ability to communicate effectively in English both in writing and verbally is a must. European legal working status is required.
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 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.
- 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
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
You will work with the latest technologies. Our Headquarters is located in Marbella. Following the onboarding period, we offer a hybrid work model, allowing for up to 2 days remote per week. Free Company shuttle bus from Malaga, Fuengirola, Riviera, and Estepona. You will have ownership of projects working in a collaborative environment where we will value your contribution. You will work in an agile environment able to react quickly to changes with a fairly flat hierarchy. As we encourage continuous learning, we will support your ongoing training. Diversity is in our DNA. You will work in an international environment (over 29 nationalities and 24 languages spoken). 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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Marbella, Málaga, España Ravenpack A tiempo completo{"title": "Senior Quantitative Researcher", "description": "About RavenPackRavenPack is a leading provider of big data analytics for the finance industry. With 20 years of experience, we empower our clients to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Our new suite of GenAI and...
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