People Operations Intern
Job Summary
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 clientsincluding some of the worlds most successful hedge funds banks and asset managersto enhance returns reduce risk and increase efficiency by integrating public information into their models and workflows. Building on this expertise we are 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 years Top 100 Next Unicorns by Viva Technology. RavenPack has launched Bigdata our Gen-AI platform tailored for finance which is already being recognized as the #1 platform for powering financial AI agents.
European legal working status is required.
Were looking for a People Operations Intern to join our team in Marbella.
Youll have the opportunity to discover how an HR department works learn from experienced professionals and get involved in different day-to-day activities.
No previous HR experience is required. What matters most to us is your enthusiasm positive attitude and willingness to learn!
Working alongside our People Operations team youll have the opportunity to:
HR Administration: Help with onboarding offboarding employee documentation contracts and other administrative processes.
R&D Support: Assist with collecting job descriptions project information and documentation for R&D processes.
Immigration: Support international employees with documentation appointments and administrative follow-ups.
People Operations: Help coordinate employee-related activities update HR systems and organize internal documentation.
Process Improvement: Learn about our processes and contribute ideas to make our daily work easier.
Youll receive guidance and support throughout your internship with activities adapted to your learning progress.
Currently studying Human Resources Labour Relations Business Administration Law or a related field.
Fluency in both Spanish and English (written and spoken) is essential.
Interest in Human Resources and working with people.
A positive attitude curiosity and willingness to learn.
Good organizational and communication skills.
Most importantly were looking for someone motivated eager to learn and excited to be part of the team!
We see internships as an opportunity to discover and develop new talent.
There may be an opportunity to continue your professional journey with us through an employment contract after completing your internship depending on business needs and available opportunities.
Growth Opportunity: Join a rapidly growing company with 180 team members with offices in New York Madrid and Marbella building AI that truly matters for business and finance.
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: 3 days in the office 2 days remote (post-onboarding).
Shuttle bus (Málaga): 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!)
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.
About Company
RavenPack is a global leader in financial data and intelligence, helping organizations turn vast amounts of unstructured information into decision-ready insight.Since 2003, RavenPack has focused on solving one of finance’s most persistent challenges: data is abundant, but usable data ... View more