Senior Quantitative AI Scientist (Finance, NLP, LLMs)

RavenPack; Randstad; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

RavenPack, Marbella-based AI and quantitative finance company, is seeking a Senior Quantitative Researcher to drive investment use cases across our product suite. You will design ML/NLP powered solutions, lead POC development, and collaborate with enterprise clients to deliver real-world AI workflows in finance.

The role requires a MSc/PhD in CS, ML, NLP or quantitative finance and 3+ years in quantitative strategies, with hands-on experience with LLMs/LRMs, time-series modeling, and multi-agent

Qualifications

• MSc or PhD in CS, ML, NLP, QF or related field.
• 3+ years experience in quantitative investment strategies.
• Hands-on experience with LLMs, LRMs, and coding assistant technologies.
• Proficiency in Python (plus SQL or other databases).

Responsibilities

• Design and build ML/NLP-powered solutions that generate measurable value in alpha generation and financial workflows.
• Engage Clients: Partner with top-tier financial institutions during POCs and pilots, rapidly iterating solutions based on real-world feedback.
• Execute Strategy: apply LLMs/LRMs, fine-tuning, and multi-agent systems to tackle complex investment challenges.
• Advance Research: Stay ahead of AI/ML trends and lead internal R&D aligned with strategic business goals.
• Collaborate Across Teams: Work closely with engineers, product managers, and executives to deliver scalable solutions.
• Communication: Represent RavenPack at industry conferences, developer communities, and client events, translating complex ideas into impactful narratives.

Education

MSc or PhD in Computer Science, Machine Learning, NLP, Quantitative Finance, or related field

Job description

RavenPack, Marbella-based AI and quantitative finance company, is seeking a Senior Quantitative Researcher to drive investment use cases across our product suite. You will design ML/NLP powered solutions, lead POC development, and collaborate with enterprise clients to deliver real-world AI workflows in finance.

The role requires a MSc/PhD in CS, ML, NLP or quantitative finance and 3+ years in quantitative strategies, with hands-on experience with LLMs/LRMs, time-series modeling, and multi-agent