About Us
At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are now launching a new suite of GenAI and SaaS services, designed specifically for financial professionals.
Join a Company that is Powering the Future of Finance with AI
RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year's Top 100 Next Unicorns by Viva Technology. We're now preparing to launch Bigdata.com, a next-generation platform aimed at transforming financial decision-making.
Responsibilities:
Conduct thorough research on companies, individuals, products, and other entities.
Add data, such as common names and identifiers, to our entity knowledge-graph.
Utilize RavenPack's proprietary NLP software to identify and detect entities in text.
Perform quality control on data entries made by the team.
Address and resolve misdetections reported by clients in a detailed and organized manner.
Effectively prioritize and manage workload while handling multiple projects simultaneously.
Requirements:
Strong analytical thinking skills to investigate complex issues and identify cause-and-effect relationships.
Ability to develop solutions and deepen understanding of various topics.
Proficient in web searching and sourcing information, including Boolean search techniques.
Familiarity with web and social media applications.
Proficiency in Microsoft Office and Google Docs.
Exceptional attention to detail.
Ability to work both independently and as part of a team.
Clear and effective communication skills.
Strong organizational skills.
Desired Skills:
Knowledge of project management, planning, and time management.
Understanding of the interdependencies between technology, operations, and business needs.
Ability to identify needs and propose process improvements.
Proficiency with JIRA and Confluence platforms.
Creative and innovative problem-solving skills.
Ability to translate complex technical concepts into clear, non-technical terms.
Excellent collaboration skills, with the ability to work effectively with cross-functional teams.
Analytical mindset with the ability to use data to drive decision-making.
Experience in conducting user research and gathering feedback to inform product development.
Qualifications:
Bachelor's Degree in Business Administration, Political Science, or a related field is preferred but not required.
High interest in current world affairs.
Experience:
Ability to identify project scope and deliverables.
Strong verbal and written communication skills.
Comfortable working with ambiguity and evolving priorities.
Flexible and adaptable to different environments.
Experience working in a problem-solving environment that demonstrates teamwork, innovation, and excellence.
Technical competence with various software programs, including G-Suite, Jira, Confluence, and project management tools.
Commitment to supporting a diverse and inclusive work environment.
What's in it for You? International Culture: With its headquarters in Marbella, Spain, and presence in New York and London, RavenPack takes pride in being a truly diverse global organization.
Competitive Salary: In RavenPack, we believe that your time and experience needs to be fairly rewarded.
Continuous learning: We provide the support needed to grow within the team.
Innovation: Innovation is the key to our success, so we encourage you to speak up and tell us about your vision.
Hybrid work arrangement.
Shuttle bus: From Malaga, Fuengirola, La Riviera, and Estepona is available for free from the company.
Diversity is in our DNA! You will work in an international environment (over 29 nationalities and 24 languages spoken!)
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