Quantitative Finance Researcher
Quantitative Finance Researcher
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Job Description
Revolutionize Finance with AI
At Axyon AI were not just predicting the futurewere building it. As a leading fintech company we empower asset managers trading desks and hedge funds with cuttingedge AIdriven investment strategies. Our deep learning technology is reshaping financial markets and were looking for ambitious minds to join us on this journey.
Your Impact
As a Senior Quantitative Researcher youll be at the forefront of financial machine learning crafting highperformance systematic trading strategies. Working alongside toptier ML and data engineering experts youll turn complex data into actionable insights pushing the boundaries of AIpowered finance.
What Youll Do
- Develop and optimize systematic trading strategies across equities fixed income and commodities.
- Design and validate predictive models using stateoftheart financial machine learning techniques.
- Collaborate with ML and data teams to integrate cuttingedge models into Axyon AIs core framework.
- Enhance data pipelines and infrastructure for seamless model deployment.
- Stay ahead of the curveexplore emerging trends in quant finance AI and deep learning.
What You Bring
- Masters or PhD in Quantitative Finance Mathematics Statistics Physics Engineering or related fields.
- Proven track record in quantitative research systematic trading or portfolio management.
- Strong programming skills in Python with expertise in financial ML and statistical modeling.
- Deep understanding of financial markets risk management and algorithmic trading.
- Passion for problemsolving a sharp analytical mindset and fluent English communication (Italian not required).
Why Join Us
- Dedicated learning budget for conferences online courses and professional growth.
- Hybrid work model with flexibility to work remotely.
- A unique work environment in a historic villa overlooking Modenas largest park.
- Office perks including premium equipment unlimited coffee fresh fruit and snacks.
At Axyon AI we believe diversity fuels innovation. We encourage applications from candidates of all backgrounds and experiences.
Employment Type
Full Time
