Data Scientist - AI Pipelines for Financial Intelligence

MdotM; Milano; On-site; EUR 60,000 - 95,000; Full time

Job summary

MdotM in Milano seeks a Data Scientist to join R&D, blending advanced math, ML, and scalable coding to power fintech insights. You will design AI pipelines, work with LLMs, validate models, and contribute to investment strategies and internal tools.

Fluency in English required; Python is essential; finance data understanding is a plus. This is an on-site role in Milan, offering opportunities for career growth.

Qualifications

• Degree in Mathematics, Physics, Machine Learning, or Computer Science.
• Python required to independently design and implement solutions.
• Experience using LLMs to accelerate development and validate generated code.
• Strong grasp of programming logic and software development principles.
• Experience with statistical modeling techniques such as bagging, random forests, hyperparameter optimization, time series analysis, and signal processing.
• Ability to approach problems from different angles and find creative, efficient solutions.
• Fluent in English (spoken and written).
• Bonus points for Java experience.
• Ability to understand financial data concepts (prices, yields, corporate actions).
• Experience with SQL/NoSQL databases.

Responsibilities

• Design, build, and optimize end-to-end AI pipelines for predictive analytics in financial markets.
• Integrate LLMs into research workflows and orchestrate data pipelines.
• Formulate hypotheses, milestones, and 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 validation frameworks (backtesting, walk-forward analysis) for robustness.
• 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.
• Apply divergent thinking to overcome bottlenecks and optimize data retrieval and processing workflows.

Skills

Python

LLMs experience

Statistical modeling

Time series

Signal processing

Programming logic

English fluency

Java (bonus)

Financial data understanding

SQL/NoSQL

Education

Mathematics

Physics

Machine Learning

Computer Science

Tools

SQL/NoSQL

Job description

MdotM in Milano seeks a Data Scientist to join R&D, blending advanced math, ML, and scalable coding to power fintech insights. You will design AI pipelines, work with LLMs, validate models, and contribute to investment strategies and internal tools.

Fluency in English required; Python is essential; finance data understanding is a plus. This is an on-site role in Milan, offering opportunities for career growth.