At a Glance
- Tasks: Conduct quantitative research and develop AI-driven investment strategies.
- Company: Join Orchid AI, a leader in AI-native asset management.
- Benefits: Flexible remote work, competitive pay, and career growth opportunities.
- Other info: Collaborate with experts and access cutting-edge tools.
- Why this job: Make an impact at the forefront of AI and finance.
- Qualifications: Strong quantitative skills and programming experience in Python.
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.
Location: Flexible / Remote (with preference for overlap with U.S. and European market hours)
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 in Slough employer: Orchid AI
Orchid AI is an exceptional employer that offers a unique opportunity to work at the forefront of AI and quantitative finance. With a flexible remote work environment, employees benefit from collaboration with industry leaders, access to cutting-edge tools, and significant opportunities for personal and professional growth. The company's commitment to innovation and employee ownership fosters a dynamic and rewarding work culture, making it an ideal place for those passionate about transforming investment strategies through technology.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher in Slough
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Orchid AI. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your quantitative skills and any relevant projects you've worked on. Bring examples of your work, especially if they involve machine learning or alternative data!
✨Tailor Your Approach
Do your homework on Orchid AI and tailor your conversations to show how your background fits their mission. Talk about how your experience aligns with their focus on AI-driven investment strategies and how you can contribute to their goals.
✨Apply Through Our Website
Don't forget to apply directly through our website! It shows you're genuinely interested and gives us a chance to see your application in the best light. Plus, it’s the quickest way to get your foot in the door!
We think you need these skills to ace Quantitative Researcher in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Quantitative Researcher role. Highlight your programming skills, quantitative research experience, and any relevant projects that showcase your ability to work with alternative data and machine learning.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about quantitative research and how your background makes you a great fit for Orchid AI. Be specific about your interest in AI technologies and financial markets, and don’t forget to mention any unique insights you can bring to the team.
Showcase Your Projects:If you've worked on any relevant projects, whether in academia or industry, make sure to include them in your application. We love seeing practical applications of your skills, especially if they involve developing investment strategies or using machine learning in finance.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you’re genuinely interested in joining our team!
How to prepare for a job interview at Orchid AI
✨Know Your Quantitative Stuff
Brush up on your quantitative skills and be ready to discuss your experience with statistical methods, machine learning, and financial modelling. Be prepared to explain how you've applied these skills in real-world scenarios, especially in developing alpha-generating signals.
✨Show Off Your Programming Skills
Since strong programming skills in Python are a must, make sure you can talk about your experience with relevant libraries and tools. Consider preparing a small project or example that showcases your coding abilities and how they relate to quantitative research.
✨Understand the Market Landscape
Familiarise yourself with current trends in AI and finance, particularly how alternative data is being used in investment strategies. Being able to discuss recent developments or case studies will demonstrate your curiosity and engagement with the field.
✨Communicate Clearly
Practice explaining complex quantitative concepts in simple terms. You’ll likely need to communicate your findings to both technical and non-technical audiences, so being able to articulate your ideas clearly will set you apart from other candidates.
