QUANTITATIVE RESEARCHER

Company Description Axyon AI is a leading fintech company on a mission to redefine the investment management landscape using cutting-edge AI-powered predictive analytics. We collaborate closely with asset managers and hedge funds offering consistently high-performing investment strategies driven by our proprietary and 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, all while nurturing a culture of total well-being and personal and professional growth for our team members. Job Description As a Quantitative Researcher, you will contribute to the Quant Team's projects and research to develop features and predictors and create systematic trading strategies. Your key tool set will include statistical analysis, risk management, and systematic strategies construction. You will collaborate closely with our machine learning and data engineering teams to drive projects forward. This role requires academic or professional experience in Quantitative Finance. Key Responsibilities Python development (back testing engine, training data generator, signal analyser) Conduct advanced quantitative research with a focus on financial machine learning applied to high-capacity systematic strategies in the equities space. Contribute to efforts in hypothesis testing and model validation. Collaborate with the machine learning team to integrate quantitative research findings into our modelling framework. Stay up-to-date with the latest developments in quantitative finance and continuously enhance our research capabilities. Effectively communicate complex quantitative concepts and research findings to stakeholders. Requirements Degree in Finance, Economics, Mathematics, Statistics, Physics, Engineering, or Computer Science. Professional experience in quantitative finance; a postgraduate degree in the same field can also be considered. Understanding of financial machine learning techniques. Intermediate/advanced Python programming. Strong written and verbal communication skills in English. Italian-speaking, though useful, is not a requirement. Ability to work independently and collaboratively in a fast-paced environment. Strong analytical and problem-solving skills. A passion for intellectual curiosity and a desire to make a significant impact in the organization. What we offer Welfare benefits and health care insurance plan. A young, vibrant, and fast-paced work environment. A 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. #J-18808-Ljbffr