Une candidature sur mesure pour ce poste — un CV et une lettre de motivation personnalisés qui correspondent à l’offre.
RavenPack in Paris seeks a Senior Quantitative Researcher to drive AI-powered finance solutions and alpha-generation datasets within their product suite. You will lead POC development, guide applied research, and work with enterprise clients to deliver real-world AI solutions in finance.
Join a team applying LLMs/LRMs, multi-agent systems, and time-series modeling to tackle sophisticated investment challenges while collaborating with engineers and executives across global offices.
Help clients make faster, smarter decisions by integrating public information into their workflows using cutting-edge NLP, ML, and GenAI technologies. RavenPack has been recognized as the Best Alternative Data Provider (WatersTechnology) and one of VivaTech’s Top 100 Next Unicorns.
The Opportunity We’re seeking a Senior Quantitative Researcher to drive quantitative investment use cases across RavenPack’s product suite, from creating alpha-generating datasets to developing intelligent agents and workflow solutions that transform how finance professionals operate.
You’ll combine deep technical expertise with a strong quantitative finance background to lead POC development, guide applied research, and work directly with enterprise clients to deliver real-world AI solutions in finance.
European legal working status is required.
Relocation Assistance: Comprehensive relocation support is available to help you and your family move to the beautiful Costa del Sol.
At RavenPack, you’ll work at the intersection of AI and quantitative finance, shaping the future of investment decision‑making in global markets.
We offer: A collaborative, international culture based in Marbella, Spain. Access to leading industry players and cutting-edge technology.
Competitive compensation and relocation support.
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.