Axyon AI is a leading fintech company on a mission to redefine the investment management landscape using cutting-edge AI-powered predictive analytics. We partner with asset managers, trading desks, and hedge funds to deliver consistently high-performing investment strategies, leveraging our proprietary, fully automated AI and deep learning technology specifically designed for financial time series analysis. We take pride in fostering an inclusive work environment that prioritizes work-life balance to meet individual and business needs while nurturing a culture of total well-being and personal and professional growth for our team members.
Your Impact
As a Senior Quantitative Researcher, you will be key in shaping and advancing our systematic trading strategies. Leveraging your expertise in financial modelling, statistical analysis, and hypothesis testing, you will drive the development of sophisticated predictive models and innovative trading signals. Collaborating closely with our machine learning and data engineering teams, you will help transform complex data into actionable insights, ensuring the continuous evolution of our quantitative strategies. This position is ideal for a seasoned Quantitative Analyst or Portfolio Manager eager to make a meaningful impact in an AI-driven fintech environment.

What You’ll Do

• Conduct in-depth quantitative research on financial machine learning for high-capacity systematic strategies, primarily in equities, with extensions to fixed income and commodities.
• Contribute to hypothesis testing, model validation, and performance evaluation.
• Collaborate with the machine learning team to integrate quantitative research findings into Axyon AI’s modelling framework.
• Work closely with the data engineering team to ensure efficient data pipelines and seamless model deployment.
• Stay current with the latest quantitative finance, AI, and machine learning advancements.
• Proactively enhance research capabilities and explore innovative techniques to drive performance.
• Translate complex quantitative concepts and research findings into clear, actionable insights for internal stakeholders.

Your Skills & Expertise

• Degree in Quantitative Finance, Economics, Mathematics, Statistics, Physics, Engineering, or Computer Science.
• Experience as a Quantitative Analyst or Portfolio Manager in a finance or trading environment.
• Familiarity with financial machine learning techniques.
• Intermediate proficiency in Python for data analysis and model development.
• Strong understanding of quantitative methods, statistics, and systematic strategy construction.
• Excellent written and verbal communication skills in English.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Strong analytical and problem-solving abilities.
• Passion for intellectual curiosity and a drive to make a meaningful impact within the organization.

What we offer

• Welfare benefits and health care insurance plan.
• A performance-driven, diverse, and vibrant work environment.
• Dedicated budget for learning (e.g. online courses, conferences, books, etc.)
• Spacious office in an ancient villa facing the biggest park in Modena
• Flexible working hours and remote working policy
• State-of-the-art facilities and equipment
• Unlimited coffee, fruit, and snacks

At Axyon AI, we believe that diverse perspectives and backgrounds drive innovation. We encourage applications from candidates of all abilities and experiences

• Conduct in-depth quantitative research on financial machine learning for high-capacity systematic strategies, primarily in equities, with extensions to fixed income and commodities.
• Contribute to hypothesis testing, model validation, and performance evaluation.
• Collaborate with the machine learning team to integrate quantitative research findings into Axyon AI’s modelling framework.
• Work closely with the data engineering team to ensure efficient data pipelines and seamless model deployment.
• Stay current with the latest quantitative finance, AI, and machine learning advancements.
• Proactively enhance research capabilities and explore innovative techniques to drive performance.
• Translate complex quantitative concepts and research findings into clear, actionable insights for internal stakeholders