We are seeking a Data Scientist to join our Research and Development Team in Milan.

Non si lasci sfuggire questa opportunità: si candidi rapidamente se la sua esperienza e le sue competenze corrispondono a quanto descritto di seguito.

This role is designed for someone who thrives at the intersection of advanced mathematics, machine learning, and scalable coding.

Working within a collaborative team of scientists and engineers, you will focus on developing the AI models that are at the core of everything we do. You’ll be joining a mission where we have been pioneering and evolving these proprietary models for more than a decade , driving the innovation that powers our fintech solutions.

Whether you are a seasoned researcher or a brilliant profile with a passion for AI, your contribution will directly impact our investment strategies and internal modeling tools.

We are looking for a creative problem solver who thrives on technical challenges. You don't necessarily need to be a finance expert, but you must be curious enough to master how financial data behaves.

Key Responsibilities

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- Design, build, and optimize end-to-end AI pipelines for predictive and prescriptive analytics in financial markets , leveraging modern techniques such as large language models (LLMs), statistical modeling, and probabilistic methods. This includes proficiency in integrating LLMs into research workflows and orchestrating data pipelines.

- 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

- Apply "divergent thinking " to overcome technical bottlenecks and optimize data retrieval and processing workflows.

Requirements

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- 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 t o accelerate development is welcome, alongside critical thinking to rigorously test and validate generated code for correctness and robustness.

- 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).

Bonus Points

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- Professional experience or proficiency in Java.

- Ability to understand financial data concepts (prices, yields, corporate actions) to ensure technical structures align with financial reality.

- Experience with SQL/NoSQL databases.

MDOTM Ltd (FRN: ) is an appointed representative of Thornbridge Investment Management LLP (FRN: ) which is authorised and regulated by the Financial Conduct Authority. xysqume

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Per questa posizione sono disponibili opzioni di lavoro a distanza/a casa.

📌 Data Scientist (Milan Office / Hybrid) (Milano)
🏢 MDOTM
📍 Milano