Who We Are
At Axyon AI, we partner with investment professionals (e.g. Asset managers, Hedge Funds, Bank Quantitative Investment Strategies teams, Private Banks, Proprietary Trading Desks and other industry participants) to add a predictive AI generated input into their processes to unearth new alpha generation opportunities. As a fast-growing Fintech, we operate at the intersection of finance and cutting-edge artificial intelligence, redefining the future of investing.
The Role
We are looking for a dynamic Quantitative Strategy & Client Solutions Specialist to sit at the intersection of quantitative research, artificial intelligence and client engagement. This cross-functional role is critical in bridging the gap between our predictive-AI models and client-facing activities.
You will help interpret and communicate the performance of Axyon’s signals and our systematic strategies and machine learning models, ensuring clients understand the value our solutions bring. Further you will help articulate to clients how they can make “the final” mile work, i.e. implementation of Axyon AI’s signals and strategies into the clients’ business.
This is a role where you will face both external (client) and internal teams. Internally, you will be reporting into the commercial team, you will also work closely with quantitative researchers, data scientists and machine learning specialists to:
- Coordinate the outputs of Axyon AI’s technical teams
- Analyse and explain model outputs and strategy performance
- Support client discussions with tailored analysis, storytelling and implementation
- Drive internal research projects to improve our strategies and model explainability
- Anticipate client needs and deliver impactful, clear and timely insights
- Learn and develop your understanding of predictive AI and its applications in financial services
What You’ll Do
- Conduct quantitative performance analysis of AI-driven strategies
- Build compelling narratives around model results for client-facing presentations
- Collaborate with ML and quant teams to improve model quality based on empirical research
- Lead internal projects to uncover deeper insights into model behaviour
- Assemble and deliver client-ready materials, explaining complex concepts in simple terms
- Proactively manage client deliverables and communication, ensuring satisfaction and clarity
- Relentlessly challenge yourself and the rest of the team, bringing your own domain experience and knowledge to review how Axyon do things AND how we can streamline and automate what we do
What We’re Looking For
- Domain expertise in a relevant firm, e.g. Asset Manager, Hedge Fund or Bank with a focus on Equities. Roles could include Quant, Equity Structuring, Portfolio Management
- Solid understanding of investment management, quantitative finance, systematic strategies and risk factor models
- Strong grasp of AI and machine learning concepts as applied to investment processes
- Exceptional communication skills — you can translate complex insights into stories that resonate with clients
- Proactive client mindset: you anticipate needs, consistently deliver on expectations, and build strong relationships
- Demonstrated ability to structure and report research findings clearly and effectively
- A team player that can collaborate effectively with technical teams, salespeople and our clients
Technical Requirements
- Proficiency in Python and SQL
- Strong knowledge of Excel and PowerPoint for analysis and presentation building
- C2-level English proficiency – you will be actively communicating with international clients.
Nice to Have
- Experience with performance and risk attribution tools (e.g., FactSet, Bloomberg PORT)
- Understanding of risk factor models and risk attribution frameworks
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