At a Glance
- Tasks: Design ML/NLP solutions that drive alpha generation and enhance financial workflows.
- Company: Join RavenPack, a leader in AI-driven finance solutions.
- Benefits: Competitive salary, relocation support, flexible work policy, and continuous learning opportunities.
- Other info: Work in a diverse, international team in beautiful Marbella, Spain.
- Why this job: Shape the future of investment decision-making with cutting-edge AI technologies.
- Qualifications: MSc/PhD in relevant fields and 3+ years in quantitative investment strategies.
The predicted salary is between 43200 - 72000 £ per year.
RavenPack is powering the future of finance with AI. With over 20 years of experience delivering big data analytics to the world’s top hedge funds, banks, and asset managers, we are building the next generation of generative AI solutions for financial professionals. Our mission is to help clients make faster, smarter decisions by integrating public information into their workflows using cutting-edge NLP, ML, and GenAI technologies.
The Opportunity: We’re seeking a senior 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. This role reports directly to Peter Hafez, Chief Data Scientist at RavenPack. 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.
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.
What You'll Do:
- 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.
- Shape strategy: Drive adoption of 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.
- Champion communication: 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 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.
Relocation and Benefits:
- Comprehensive relocation support to move to the Costa del Sol.
- Join a rapidly growing company with 180+ team members with offices in New York, Madrid, and Marbella, building AI that matters for business and finance.
- Be part of a diverse, global organization with a truly international culture.
- Work with professionals including Silicon Valley executives and Wall Street veterans.
- Highly competitive salary package and performance-based bonuses.
- Paid vacation, flexible time-off, and flexible work policy.
- Support to grow within the team.
Location: Marbella / Spain (relocation) – London and other offices not required for this role.
Senior Quantitative Researcher - QIS in England employer: Ravenpack
RavenPack is an exceptional employer, offering a unique opportunity to work at the forefront of AI and quantitative finance in the stunning location of Marbella, Spain. With comprehensive relocation support, a collaborative international culture, and access to cutting-edge technology, employees are empowered to drive innovation and shape the future of investment decision-making. The company prioritises employee growth through continuous learning and provides a competitive compensation package, making it an attractive place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Researcher - QIS in England
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and AI sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there. You never know who might have a lead on that perfect role!
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and industry knowledge. Practice common interview questions related to quantitative finance and AI. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your projects! If you've worked on any ML or NLP projects, make sure to highlight them during interviews. Create a portfolio or GitHub repository to demonstrate your skills and experience. This will set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your genuine interest in joining RavenPack and being part of our exciting journey in AI and finance.
We think you need these skills to ace Senior Quantitative Researcher - QIS in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in quantitative finance and AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in finance and how you can contribute to our mission at RavenPack. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:Since this role requires deep technical expertise, make sure to highlight your proficiency in Python, ML, and NLP technologies. We’re looking for hands-on experience, so include specific examples of your work that demonstrate your capabilities.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at RavenPack!
How to prepare for a job interview at Ravenpack
✨Know Your Stuff
Make sure you brush up on your knowledge of ML, NLP, and quantitative finance. Be ready to discuss specific projects you've worked on, especially those involving LLMs and alpha generation. This will show that you not only understand the theory but also have practical experience.
✨Engage with Real-World Scenarios
Prepare to talk about how you've tackled complex investment challenges in the past. Think of examples where you've partnered with clients or iterated on solutions based on feedback. This will demonstrate your ability to apply your skills in a real-world context.
✨Show Your Collaborative Spirit
RavenPack values teamwork, so be ready to discuss how you've collaborated with engineers, product managers, and other stakeholders. Highlight any experiences where you’ve led projects or contributed to cross-functional teams to deliver scalable solutions.
✨Communicate Clearly
Since you'll be representing RavenPack at industry events, practice explaining complex ideas in simple terms. Prepare a few narratives that translate technical jargon into impactful stories, showcasing your ability to communicate effectively with diverse audiences.
