Team Leader | Credit Risk | Milan

Oliver Bernard; Lombardia; Hybrid; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Bonus

Job summary

Oliver Bernard in Milan is seeking a Team Leader (Data Analyst) to define and execute a data strategy, lead model development, and translate insights into product decisions. The role focuses on AI-driven decision-making for risk and resilience, with cross-functional collaboration across global teams.

Ideal candidates will have strong data analytics and science experience, exposure to data engineering or ML, and hands-on Python with Pandas/NumPy. Hybrid work in Central Milan is offered.

Qualifications

• Must have experience in Data Analytics and Data Science with exposure to Data Engineering or ML.
• Able to operate autonomously within a global, distributed organisation.
• Hands-on data querying and analysis using Pandas and NumPy.
• Strong stakeholder communication and leadership skills.

Responsibilities

• Define and execute a data science strategy aligned to product and business objectives.
• Lead the design, development, and deployment of models into production.
• Analyse large datasets to extract patterns and translate insights into product recommendations.
• Stay updated on AI trends, including GenAI, and apply them to risk-focused initiatives.

Skills

Data Analytics

Data Science

Data Engineering

Machine Learning

Pandas

NumPy

Education

Bachelor's or Master's in CS/Data Science

Tools

Python

Job description

Team Leader | Credit Risk | Milan

€60 - 80k + bonus (depending on experience)

Hybrid Working in Central Milan

We're hiring a Team Leader (Data Analyst) for a global organisation operating at the intersection of data, analytics, and AI-driven decision-making. This is a highly influential role, sitting at the forefront of data science strategy and shaping how advanced analytics and AI are applied across complex, real-world problems.

You'll work closely with senior stakeholders and global engineering and product teams to deliver high-impact, data-driven solutions, including an AI-powered platform focused on risk and resilience.

The role:

• Define and execute a data science strategy aligned to product and business objectives
• Lead the design, development, and deployment of models and algorithms into production
• Analyse large, complex datasets to identify patterns and trends, translating insights into actionable product recommendations
• Stay close to industry trends and emerging technologies, particularly in AI and GenAI

What we're looking for:

• Strong, proven experience across Data Analytics, Data Science, with exposure to Data Engineering and/or Machine Learning
• Ability to operate autonomously within a global, distributed organisation
• Solid experience selecting and applying appropriate methodologies, technologies, and techniques
• Hands-on experience with data querying, manipulation, and analysis, including tools such as Pandas and NumPy

Nice to have

• Experience working with Generative AI tools and approaches
• Software engineering or programming experience, ideally in Python
• Advanced academic background in Computer Science, Data Science, or equivalent industry experience

€60 - 80k + bonus (depending on experience)

Hybrid Working in Central Milan