Quantitative Analyst, Derivatives Trading, GPS, 100% (f/m/d)

Julius Baer; Zürich; On-site; CHF 120,000 - 180,000; Full time

Job summary

Julius Baer is seeking a highly motivated Quantitative Analyst to design, develop, and integrate advanced pricing and risk analytics for its global derivatives trading business in Zürich.

You will bridge quantitative theory with robust software engineering, delivering scalable tools used across trading. The role involves collaboration with Risk and IT, model validation, and production integration in a fast-paced bank environment.

Qualifications

• Ph.D. or Master’s degree in a quantitative discipline.
• Solid understanding of financial mathematics, probability theory, and stochastic calculus.
• Strong programming skills in at least one compiled language; familiarity with Scala and the Java ecosystem is a plus.

Responsibilities

• Design, develop, and maintain advanced quantitative tools and services for derivative trading.
• Implement and enhance pricing models and integrate them into risk management systems.
• Collaborate with Risk and IT to validate models and support production integration.
• Drive cross-functional projects and communicate effectively with stakeholders.

Skills

Programming skills

English communication

German language

Team player

Hands-on mindset

Education

Master’s degree or PhD in quantitative field

Tools

Scala

Java ecosystem

Job description

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

We are seeking a highly motivated Quantitative Analyst to design, develop, and integrate advanced pricing and risk analytics solutions for our global derivatives trading business. In this role, you will bridge quantitative knowledge with robust software engineering, delivering scalable tools used across trading. The Quant team is part of the Trading Team, within our Global Products & Solutions Unit in Zürich.

YOUR CHALLENGE

• Design, develop, and maintain advanced quantitative tools and services that support the Bank’s derivative trading activities
• Implement and enhance derivative pricing models and ensure their seamless integration into risk management systems
• Drive or contribute to cross-functional projects involving multiple teams and stakeholders, ensuring alignment and delivery of quantitative solutions
• Collaborate closely with Risk and IT departments to validate models, streamline workflows, and support production integration

YOUR PROFILE

• Ph.D. or Master’s degree in a quantitative discipline (e.g., Mathematics, Physics, Engineering, Quantitative Finance)
• Solid understanding of financial mathematics, probability theory, and stochastic calculus, with practical experience applying these concepts
• Strong programming skills in at least one compiled language. Familiarity with Scala and the Java ecosystem is a plus
• Up to four years of relevant professional experience in a quantitative development or model implementation role, ideally within a bank or hedge fund (including internships, graduate trainee programmes, or regular junior roles)
• Excellent communication skills in English; proficiency in German is an advantage
• Strong team player with a proactive, hands-on mindset and the ability to deliver high-quality work under tight deadlines