At a Glance
- Tasks: Advise on AI strategy and help shape the future of investment management.
- Company: Join Orchid AI, a leader in AI-native asset management.
- Benefits: Collaborate with top experts and influence cutting-edge technology.
- Other info: Opportunity to connect with industry leaders and drive transformative change.
- Why this job: Be at the forefront of AI innovation in finance and make a real impact.
- Qualifications: Deep expertise in AI, machine learning, and experience in financial institutions.
The predicted salary is between 100000 - 150000 £ per year.
About Orchid AI
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.
Role Overview
Orchid AI is seeking an accomplished AI Advisor to join its Advisory Board and help shape the future of artificial intelligence in investment management.
This role offers a unique opportunity to work alongside the founding team in defining Orchid's long-term AI strategy, product vision, and technology roadmap.
As a trusted advisor, you will provide strategic guidance on the development, deployment, and governance of AI systems that have the potential to transform investment research, portfolio construction, risk management, and institutional decision-making.
The ideal candidate brings deep expertise in artificial intelligence, machine learning, data science, or AI transformation, combined with experience building and scaling AI capabilities within enterprise environments, financial institutions, or leading technology companies.
Key Responsibilities
- Advise the executive team on emerging AI technologies, industry developments, and competitive dynamics.
- Help define Orchid AI's long-term AI strategy, technology vision, and innovation roadmap.
- Identify opportunities where AI can create sustainable competitive advantages across investment workflows.
- Provide perspectives on how AI is reshaping institutional investing, asset management, and capital markets.
- Advise on the development of AI-native research, portfolio management, and decision-support systems.
- Evaluate opportunities to leverage generative AI, agentic systems, machine learning, and advanced analytics across the investment lifecycle.
- Provide feedback on product architecture, model selection, data strategy, and platform differentiation.
- Help assess emerging AI models, infrastructure, tooling, and alternative data capabilities.
- Contribute to the design of scalable, production-grade AI systems for institutional use cases.
- Share best practices for enterprise AI deployment, adoption, and operationalisation.
- Advise on organisational readiness, change management, and AI transformation initiatives.
- Provide insights into how leading asset managers, hedge funds, sovereign wealth funds, pension funds, and family offices are implementing AI strategies.
- Help establish frameworks for measuring AI impact, productivity gains, and business outcomes.
- Advise on AI governance, model risk management, explainability, transparency, and regulatory considerations.
- Provide guidance on responsible AI frameworks and best practices.
- Support the development of policies for model monitoring, validation, security, and compliance.
- Help ensure AI systems are robust, trustworthy, and aligned with institutional standards.
- Facilitate introductions to senior AI, technology, innovation, and investment leaders where appropriate.
- Support strategic discussions with institutional investors, partners, and prospective clients.
- Act as a thought partner to leadership on market opportunities, technology risks, and ecosystem developments.
- Represent Orchid AI within relevant industry, research, and innovation communities when appropriate.
Ideal Background
We are particularly interested in individuals who have held senior leadership positions such as:
- Chief AI Officer (CAIO)
- Chief Data & AI Officer (CDAIO)
- Chief Technology Officer (CTO) with responsibility for AI strategy and deployment
- Head of Artificial Intelligence, Machine Learning, Data Science, or AI Research
- AI Transformation Leader within asset management, banking, insurance, or financial services
- Senior AI executive at hedge funds, asset managers, investment banks, fintechs, or technology companies
- Founder, CEO, or Chief Scientist of an AI-focused company
- AI platform, infrastructure, foundation model, or research leader
- Expert in AI governance, model risk management, or responsible AI
- Academic researcher or practitioner with recognised expertise in machine learning, generative AI, LLMs, multi-agent systems, or AI infrastructure
Preferred Expertise
- Generative AI and Large Language Models (LLMs)
- Agentic AI and autonomous decision-making systems
- Multi-agent architectures and orchestration frameworks
- Quantitative investing, machine learning, and systematic strategies
- Alternative data and predictive analytics
- AI infrastructure, model deployment, and MLOps
- Enterprise AI adoption and transformation
- AI governance, explainability, and regulatory frameworks
- Financial services technology and digital transformation
- Asset management, capital markets, and institutional investing
AI Advisor in London employer: Orchid AI
Orchid AI is an exceptional employer, offering a unique opportunity to shape the future of AI in asset management while collaborating with a visionary founding team. With a strong emphasis on innovation and professional growth, employees benefit from a dynamic work culture that values expertise and fosters meaningful contributions to the investment community. Located at the forefront of technological advancement, Orchid AI provides its team with unparalleled access to industry leaders and insights, making it an ideal place for those looking to make a significant impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Advisor in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Orchid AI!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Orchid AI.
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We think you need these skills to ace AI Advisor in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Orchid AI, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Orchid AI. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Orchid AI
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Orchid AI!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
