Quantitative Analyst (Math, Physics & Engineering degrees)

Prima; Milano; Remoto; EUR 35.000 - 50.000; Tempo pieno

Descrizione del lavoro

A leading motor insurance provider in Milan seeks a Quantitative Analyst to enhance data-driven pricing strategies. This role involves leveraging machine learning to set client prices and analyzing data for strategic insights. The ideal candidate has a strong quantitative background and innovative mindset. Join a company that values flexibility and personal growth, with perks like private healthcare and opportunities to work from anywhere.

Servizi

Flexible work options

Access to learning resources

Private healthcare

Gym discounts

Wellbeing programs

Competenze

• Strong academic background in a quantitative field.
• Curiosity and innovative thinking.
• Proficiency in data analysis techniques.

Mansioni

• Leverage Machine Learning to set prices based on data.
• Analyze complex data for strategic decisions.
• Provide actionable insights for company growth.

Conoscenze

Mathematical skills

Analytical skills

Machine Learning

Data analysis

Formazione

Degree in Mathematics, Physics, or Data Science

Descrizione del lavoro

Are you looking for a new challenge? Fancy helping us shape the future of motor insurance?

Prima could be the place for you.

Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 4 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain.

To help fuel that growth, we need a Quantitative Analyst to join our Italian Pricing & Underwriting team, that is the strategic engine behind Prima’s growth.

As part of this team, you’ll play a pivotal role in shaping our strategy and strengthening our competitive edge. Using data, analytical thinking, machine learning and business acumen, you’ll help predict the future and set the right prices, keeping our offering both attractive and sustainable. You’ll work with your data science tools and skills to bring real-world impact, collaborating with cross-functional teams to turn insights into action and fuel innovation across the company.

Excited to make an impact? Here are the details

What You’ll Do

• Leverage Machine Learning and advanced data analytics to identify risks and set the right price for each client;
• Analyze and interpret complex data to support strategic decision-making;
• Contribute directly to the company’s growth and long-term success through actionable insights.

What We’re Looking For

• Strong academic background in Mathematics, Physics, Mathematical Engineering, Physical Engineering, Data Science, Informatics, Computer Engineering or Statistics;
• All experience levels, including recent graduates with no prior work experience;
• Excellent quantitative, logical, and analytical skills;
• Curiosity, proactivity, and innovative thinking to drive new ideas and solutions.

Nice-to-have

• Possess a solid foundation in code development and machine learning;
• Know how to create, manipulate and analyze large datasets.

We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks.

🤸 Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.

🏁 Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you.

🌈 Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.

Think you’re a match? Apply now.

At Prima, we celebrate uniqueness. If you don’t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives.

Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at talent.acquisition@.it. Let’s build the future of insurance, together.