4 дня назад
Data Scientist (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI): Developing proprietary AI models and end-to-end pipelines for predictive and prescriptive analytics in financial markets with an accent on large language models, statistical modeling, and probabilistic methods. Focus on validating models through backtesting and walk-forward analysis, monitoring data and model stability, and solving complex problems in portfolio construction and quantitative investment research.
Location: Milan, Italy (Hybrid)
Company
develops proprietary AI models and fintech solutions for investment strategies and internal financial modeling.
What you will do
- Design, build, and optimize end-to-end AI pipelines for predictive and prescriptive analytics in financial markets.
- Integrate large language models, statistical modeling, and probabilistic methods into research workflows and data pipelines.
- Own the model lifecycle from data selection and representation through deployment and performance tuning.
- Develop validation frameworks including backtesting and walk-forward analysis to assess robustness and statistical reliability.
- Build automated systems for data-quality monitoring, model-health tracking, and drift or instability detection.
- Research risk exposures, portfolio construction, and quantitative investment processes while collaborating with technical teams.
Requirements
- Degree in mathematics, physics, machine learning, computer science, or another quantitative field.
- Strong Python skills and the ability to independently design and implement solutions.
- Solid understanding of programming logic and software development principles.
- Experience with statistical modeling, bagging, random forests, hyperparameter optimization, time series analysis, and signal processing.
- Fluent English required in both spoken and written communication.
Nice to have
- Professional experience or proficiency in Java.
- Experience using large language models to accelerate development, with rigorous validation of generated code.
- Understanding of financial data concepts such as prices, yields, and corporate actions.
- Experience with SQL or NoSQL databases.
Culture & Benefits
- Collaborative work with scientists and engineers in a research and development environment.
- Opportunity to contribute to proprietary models that have been developed and evolved for more than a decade.
- Hybrid work setup in Milan.
- Focus on creative problem-solving, divergent thinking, and long-term research goals.
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