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 have recently launched a new product, Bigdata.com, a next-generation platform aimed at transforming financial decision-making.
We're looking for RavenPack is looking for a Linguistic Analyst to help us interpret complex language patterns, enhance our AI and NLP (Natural Language Processing) capabilities, and contribute to the creation of more accurate and meaningful data models.
As a Linguistics Analyst , you will bridge the gap between human language and machine learning. You'll work closely with other members of the Linguistics team, developers, internal tools team and other stakeholders to analyze text data, build linguistic models and patterns, and ensure the language components of our analytics platform are robust and reliable. Your work will enhance sentiment analysis, text classification, and automated language processing systems, helping our clients gain deeper insights from their data.
This position is for our Marbella office, Spain. You will report directly to a senior member of the Linguistics team and training will be provided.
What you Need to Succeed High level of English language
Experience working with large textual datasets and conducting language data analysis
Bachelor's Degree in English Philology, Translation Interpreting, Linguistics or similar is preferred but not required
Excellent written and verbal communication skills
Strong understanding of linguistic concepts and language technology applications
Must be able to effectively work with Google Workspace and other communication and productivity tools
Strong analytical and problem-solving skills
Good organizational skills and effective time management
Ability to work cross-functionally in a fast-paced, dynamic environment
Responsibilities Analyze diverse document types (e.g. news articles, job listings, corporate transcripts, filings, etc.) to assess and improve event detection and textual data tagging
Develop and enhance linguistic features of the system by writing specs and collaborating with the development team in their implementation
Improve the event detection system and textual data tagging by applying linguistic solutions or leveraging linguistic features and AI technologies (for example LLMs)
Find new events, patterns and textual data tagging to be added to RavenPack Taxonomy and model them
Review internal daily reports to evaluate the accuracy of the output data and ensure that recent updates are delivering the desired outcomes
Coordinate the integration and deployment of event, textual tagging changes and features into the appropriate production or testing environment
Ensure the accuracy and reliability of language models and datasets by conducting rigorous quality checks and validation processes
Analyze and interpret large datasets of textual information to identify trends, patterns, and insights
Conduct linguistic research to support the continuous improvement of language processing tools
What's in it for you? 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
Ownership of projects in a collaborative environment where your contribution is valued
Continuous learning opportunities with support for ongoing training
A diverse and international environment with over 29 nationalities and 24 languages spoken
Competitive Salary: In RavenPack, we believe that your time and experience needs to be fairly rewarded