Design, build, and optimize end-to-end AI pipelines for predictive and prescriptive analytics in financial markets
Formulate hypotheses, identify intermediate milestones, and meet deadlines for long-term ambitious research goals
Own the full model lifecycle, from data selection and representation to deployment and performance tuning
Develop and execute rigorous validation frameworks (e.g., backtesting, walk-forward analysis) to ensure robustness and statistical reliability
Conduct in-depth research by formulating testable hypotheses and driving progress toward long-term R&D goals
Build and maintain automated systems to monitor data quality, model health, and detect drift or instability
Collaborate with other technical teams to ensure seamless integration between data pipelines and modeling logic
Research and deliver insights related to risk exposures, portfolio construction, and quantitative analysis of the investment process

Degree in Mathematics, Physics, Machine Learning, Computer Science, or other quantitative fields
Python skills are required to independently design and implement solutions
Experience using LLMs to accelerate development is welcome
Strong grasp of programming logic and software development principles
Experience with statistical modeling and techniques such as bagging, random forests, hyperparameter optimization, time series analysis, and signal processing
The ability to approach problems from different angles and find creative, efficient solutions
Fluent in English (both spoken and written).

Competitive salary & truly flexible work environment
Benefit from an unlimited learning and development budget to stay at the bleeding edge of AI research
Fast-track career progression, with opportunities to grow into leadership roles
Collaborate daily with an ultra-international team (18+ nationalities) spread across our offices in Milan, London and New York
Annual company retreat at a stunning location

Data Scientist

Key skills