Senior Quantitative Researcher
RavenPack
Job Overview
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Job Description
Senior Quantitative Researcher at RavenPack
RavenPack is powering the future of finance with AI, leveraging over 20 years of experience delivering big data analytics to the world’s top hedge funds, banks, and asset managers. We are currently building the next generation of generative AI solutions for financial professionals, with a mission to 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.
We are seeking a Senior Quantitative Researcher to drive quantitative investment use cases across RavenPack’s product suite. This includes creating alpha-generating datasets, developing intelligent agents, and building workflow solutions that transform how finance professionals operate. This role reports directly to Peter Hafez, Chief Data Scientist at RavenPack. You will combine deep technical expertise with a strong quantitative finance background to lead Proof of Concept (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. Comprehensive relocation support is available to help you and your family move to the beautiful Costa del Sol.
What You'll Do
- Design and build ML/NLP-powered solutions that generate measurable value in alpha generation and financial workflows.
- Partner with top-tier financial institutions during POCs and pilots, rapidly iterating solutions based on real-world feedback.
- Drive adoption of LLMs/LRMs, fine-tuning, and multi-agent systems to tackle complex investment challenges.
- Stay ahead of AI/ML trends and lead internal R&D aligned with strategic business goals.
- Work closely with engineers, product managers, and executives to deliver scalable solutions.
- Represent RavenPack at industry conferences, developer communities, and client events, translating complex ideas into impactful narratives.
What We're Looking For
- MSc or PhD in Computer Science, Machine Learning, NLP, Quantitative Finance, or a related field.
- 3+ years’ experience in quantitative investment strategies from buyside or sell-side, with proven success in ML/NLP-driven initiatives.
- Deep, hands-on expertise with LLMs, LRMs, and coding assistant technologies.
- Strong background in alpha generation, time-series modeling, workflow orchestration, and multi-agent LLM architectures.
- Proficiency in Python (plus SQL or other databases).
- Excellent client-facing and project leadership skills.
- Entrepreneurial mindset with strong business acumen and a passion for pushing the boundaries of applied AI in finance.
Why Join Us?
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. 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. You’ll be part of a diverse, global organization with a truly international culture, working alongside a talented team of professionals, including Silicon Valley executives and Wall Street veterans. Enjoy a highly competitive salary package, performance-based bonuses, paid vacation, flexible time-off, a flexible work policy, and continuous learning opportunities.
Ready to lead the next wave of AI in finance? Apply now and help us build the future. 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.
Key skills/competency
- Quantitative Research
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Generative AI (GenAI)
- Large Language Models (LLMs)
- Alpha Generation
- Time-Series Modeling
- Python Programming
- Financial Workflows
- Client Engagement
How to Get Hired at RavenPack
- Research RavenPack's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on their AI and finance innovation.
- Tailor your resume for AI and Quant Finance: Customize your resume to highlight experience in ML, NLP, LLMs, alpha generation, and quantitative investment strategies specifically relevant to RavenPack.
- Showcase your technical expertise: Prepare to demonstrate deep hands-on experience with Python, time-series modeling, and multi-agent LLM architectures during technical assessments.
- Prepare for client-facing scenarios: Practice articulating complex technical concepts to non-technical stakeholders and demonstrating strong project leadership skills for client engagement.
- Understand RavenPack's impact: Articulate how your skills can contribute to RavenPack's mission of transforming financial decision-making with cutting-edge AI.
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