At a Glance
- Tasks: Conduct quantitative research and develop innovative investment strategies using AI and alternative data.
- Company: Join Orchid AI, a pioneering firm in AI-driven asset management.
- Benefits: Flexible remote work, competitive pay, and opportunities for career growth.
- Other info: Collaborate with industry leaders and access cutting-edge tools.
- Why this job: Make a real impact at the forefront of AI and finance.
- Qualifications: Strong quantitative skills and programming experience in Python required.
The predicted salary is between 60000 - 80000 £ per year.
Orchid AI is building an AI-native asset management platform that combines quantitative research, machine learning, agentic AI systems, and alternative data to generate differentiated investment insights and systematic investment strategies. Our mission is to create a modern research and portfolio management stack where human expertise and AI work together to discover, validate, and scale alpha opportunities across global markets.
We are seeking a highly motivated Quantitative Researcher to join our investment research team. This role offers the opportunity to work across the full investment research lifecycle, from idea generation and data acquisition through signal development, portfolio construction, backtesting, and live strategy monitoring. You will work closely with portfolio managers, AI engineers, and data scientists to develop systematic investment strategies powered by alternative data, machine learning, and agentic AI workflows. The ideal candidate combines strong quantitative skills with a deep curiosity about financial markets and emerging AI technologies.
Key Responsibilities:
- Conduct quantitative research to identify and develop alpha-generating investment signals across equities and other liquid asset classes.
- Design, test, and refine systematic investment strategies using statistical, machine learning, and AI-driven approaches.
- Source, evaluate, and integrate alternative, fundamental, macroeconomic, and market data into research pipelines.
- Develop robust back testing frameworks and research infrastructure to evaluate strategy performance and risk characteristics.
- Apply modern AI and agentic systems to automate research workflows, data analysis, idea generation, and portfolio monitoring.
- Collaborate with portfolio managers to translate research insights into investable strategies and portfolio construction frameworks.
- Build predictive models for forecasting returns, risk, market regimes, and factor behavior across varying time horizons.
- Monitor live strategies and continuously improve models based on changing market conditions and new data sources.
- Contribute to the development of Orchid AI’s proprietary investment intelligence platform and research ecosystem.
- Communicate research findings clearly through written reports, presentations, and collaborative discussions.
Required Qualifications:
- Bachelor's, Master's, or PhD in Mathematics, Statistics, Computer Science, Physics, Engineering, Economics, Finance, or a related quantitative discipline.
- Strong programming skills in Python and experience with quantitative research libraries and data science tools.
- Strong foundation in statistics, probability, optimization, machine learning, and financial modeling.
- Experience working with large structured and unstructured datasets.
- Ability to independently formulate hypotheses, design experiments, and evaluate results rigorously.
- Strong communication skills and the ability to explain complex quantitative concepts to both technical and investment audiences.
Preferred Experience:
- 3+ years of experience in quantitative research, systematic investing, hedge funds, asset management, proprietary trading, or fintech.
- Experience developing alpha signals, factor models, forecasting systems, or portfolio optimization frameworks.
- Experience with alternative datasets, including corporate, consumer, geospatial, web, transaction, or other non-traditional data sources.
- Experience building research platforms, data pipelines, or production-grade quantitative infrastructure.
- Familiarity with cloud computing environments and modern data engineering practices.
- Experience applying machine learning, large language models (LLMs), or agentic AI systems to investment research and decision-making.
Highly Valued Experience:
- Building proprietary datasets or investment intelligence products.
- Research involving cross-sectional equity selection, statistical arbitrage, factor investing, or multi-asset strategies.
- Experience integrating heterogeneous data sources into unified predictive frameworks.
- Developing AI agents for research automation, knowledge extraction, market intelligence, or portfolio management workflows.
- Working in entrepreneurial, fast-moving investment or technology environments.
- Experience taking research from concept to live deployment and ongoing performance management.
Why Join Orchid AI?
- Build at the intersection of AI, quantitative finance, and asset management.
- Work directly with founders and senior investment professionals.
- Access cutting-edge AI tools, alternative datasets, and research infrastructure.
- Significant opportunity for ownership, impact, and career growth.
- Competitive compensation, performance incentives, and equity participation for exceptional candidates.
Quantitative Researcher employer: Orchid AI
Orchid AI is an exceptional employer for Quantitative Researchers, offering a dynamic work culture that thrives at the intersection of AI and finance. With flexible remote working options, employees benefit from access to cutting-edge tools and alternative datasets, fostering significant opportunities for personal and professional growth. Join a team where your contributions directly impact innovative investment strategies and where collaboration with industry leaders enhances your career trajectory.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research projects, models, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and finance. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Show Your Quantitative Skills:Make sure to highlight your quantitative skills in your application. We want to see how you can apply your knowledge in mathematics, statistics, and programming to real-world financial problems. Use specific examples from your past experiences to demonstrate your expertise.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Quantitative Researcher role at Orchid AI. Mention any relevant experience with machine learning, alternative data, or investment strategies that aligns with our mission.
Communicate Clearly:We value strong communication skills, so make sure your written application is clear and concise. Explain complex concepts in a way that’s easy to understand, as you’ll need to do this in your role too. A well-structured application can really set you apart!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re genuinely interested in joining our team at Orchid AI!
How to prepare for a job interview at Orchid AI
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss statistical concepts, machine learning techniques, and financial modelling. Prepare to explain how you've applied these in past projects or research, as this will show your depth of understanding.
✨Show Your Curiosity
Orchid AI values a deep curiosity about financial markets and emerging technologies. Be prepared to discuss recent trends in AI and finance that excite you, and how you think they could impact investment strategies. This will demonstrate your passion for the field.
✨Prepare for Technical Questions
Expect technical questions related to programming in Python and working with data. Practice coding problems and be ready to explain your thought process. Familiarity with quantitative research libraries will give you an edge, so make sure you can discuss your experience with them.
✨Communicate Clearly
You’ll need to convey complex ideas to both technical and non-technical audiences. Practice summarising your research findings and strategies in a clear, concise manner. Consider preparing a few examples of how you've successfully communicated complex concepts in the past.
