RavenPack is the leading provider of insights and technology for data-driven companies, trusted by the world’s top hedge funds, banks, and asset managers. Our platform processes 40,000+ sources in 13 languages, mapping millions of entities to deliver sentiment, relevance, and impact scores.
From alpha generation and risk management to ESG analytics and portfolio optimization, RavenPack helps firms compress research cycles and make smarter, data-driven decisions.
In 2024, it launched Bigdata.com, an agentic AI platform that unites premium, unique, and real-time financial datasets with powerful search. Professionals can gain instant insights with ready-to-use AI agents or build their own to accelerate research, automate workflows, and enhance returns. Backed by more than two decades of RavenPack’s AI expertise, Bigdata.com is redefining how financial professionals leverage AI to unlock smarter, faster decisions.
Discover why the world’s leading financial institutions trust RavenPack to power their AI and predictive analytics.
Rating Reviews
Rating is calculated based on
9
reviews and is evolving.
Pros: The career growth for a Data Scientist in this FinTech company is fantastic. I tackled challenging AI and machine learning projects, working with alternative data. Mentorship was strong, fostering continuous learning and skill development in a collaborative Madrid environment.
Cons: Workload during major releases could be intense, occasionally impacting work-life balance. Streamlining internal communication and approval for new tools would boost efficiency for the data analytics team. A common challenge in a fast-paced FinTech environment, but worth improving.
Advice to Management: Focus on even clearer career progression frameworks for Data Scientists and tech roles. Improving internal communication during peak project times would enhance team cohesion and efficiency in the Madrid office. Keep fostering the innovative spirit in alternative data.
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Pros: Great emphasis on work-life balance and flexibility in the Paris office. The team was very collaborative and supportive, and I learned a lot about real-time financial data processing. Plenty of interesting projects within the data science and analytics space.
Cons: Career progression could be more clearly defined for analyst roles. Sometimes, there's a lack of consistent communication from upper leadership regarding strategic direction, which can be a bit disorienting for individual contributors.
Advice to Management: Consider implementing more structured career development frameworks and increasing transparency in strategic communications to better align teams and foster a stronger sense of direction.
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Pros: The core work involving AI and NLP for financial markets is fascinating. There are opportunities to pick up new skills and tackle complex problems. The location in Marbella is a definite plus for lifestyle, and the team is generally collaborative and knowledgeable. It's a great place to build expertise in specialized data analytics.
Cons: While growth is possible, formal training programs could be more structured. Sometimes, project scope can be a bit fluid, leading to occasional priority shifts. Communication regarding long-term strategic direction could be clearer at times for individual contributors in this fast-paced data science role.
Advice to Management: Consider enhancing formal career pathing and development frameworks to better support employees aiming for senior roles within the AI and data science teams. Clearer communication on long-term project roadmaps would also be beneficial.
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What is RavenPack's reference check process like for data scientist roles?
During my reference checks for a data scientist position at RavenPack, they contacted my previous managers. It seemed like a standard process focused on my technical skills and team collaboration in the data analytics industry.
What is the typical salary range for a data scientist at RavenPack, considering it's a data analytics firm in the financial industry?
Based on my experience as a data scientist at RavenPack, salaries for roles in this growing data analytics firm generally align with industry standards for experienced professionals in the FinTech space.
What is the working culture like at RavenPack, a data analytics company in Spain?
Working at RavenPack, a mid-sized data analytics firm in Spain, feels very collaborative. There's a strong emphasis on continuous learning and open communication across teams, which I found really beneficial.
What's the dress code like at RavenPack's offices, especially for roles in the data analytics industry?
At RavenPack, the dress code is pretty casual, leaning towards smart casual for most roles. It's comfortable for daily work in their tech hubs, allowing you to focus on your tasks.
What's the working culture like at RavenPack, a data analytics company in Spain?
At RavenPack, I've found a collaborative environment with a focus on innovation in the data analytics industry, even within our Spanish offices. The team fosters a results-driven approach, making it a great place for professionals passionate about financial data.
What is the hiring process like at RavenPack for data science roles?
The hiring process for data scientists at RavenPack involved a technical screening, followed by interviews with team members and leadership. It felt thorough and aimed at assessing both technical skills and cultural fit within this growing tech company.
What kind of benefits does RavenPack offer its employees in Malaga?
RavenPack provides a good benefits package for its employees in Malaga, including private health insurance and a competitive salary. They also offer opportunities for professional development, which is a great perk for those looking to grow within the data analytics industry.
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