Senior Quantitative Researcher - ML/NLP for Alpha in Finance

RavenPack; Paris; Hybride; EUR 110 000 - 180 000; Plein temps

Avantages offerts par ce poste

Relocation assistance

Competitive compensation

International culture

Résumé du poste

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.

Qualifications

• MSc or PhD in Computer Science, ML, NLP, Quantitative Finance, or related field.
• 3+ years experience in quantitative investment strategies from buyside or sell-side, with proven success in ML/NLP-driven initiatives.
• Hands-on experience with LLMs, LRMs, and coding assistant technologies.
• Background in alpha generation, time-series modeling, workflow orchestration, and multi-agent LLM architectures.
• Proficiency in Python (plus SQL or other databases). Entrepreneurial mindset with strong business acumen and a passion for pushing the boundaries of applied AI in finance.

Responsabilités

• 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.

Connaissances

ML/NLP

LLMs/LRMs

Python

SQL

Financial modeling

Formation

MSc or PhD in Computer Science, ML, NLP, or Quant Finance

Description du poste

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.