Junior Quant Risk & AI Consultant

KPMG AG; Zürich; Hybrid; CHF 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working

Training programs

Mentoring

Flexible working

Lunch allowance

Parental leave

Job summary

KPMG AG in Zurich is seeking a candidate to develop and validate quantitative models for financial risk, leveraging Python and AI techniques. You will analyze large datasets, perform statistical tests and translate results into clear, actionable insights for clients.

The role offers hybrid work, 80-100% workload, and start by agreement. A Master’s in a quantitative field and 0–2 years of experience are ideal; fluency in English and German is required, French is a plus.

Qualifications

• Master's degree in a quantitative discipline (math, statistics, physics, data science, engineering).
• 0-2 years of relevant experience in quantitative modelling, risk analytics or data science; strong graduates may be considered.
• Fluent English and German; French is beneficial.
• Structured problem-solving, attention to detail, ability to explain quantitative topics clearly.

Responsibilities

• Develop, validate and enhance quantitative models for financial risk management (market, credit, liquidity).
• Analyse large datasets, perform statistical testing, translate results into actionable client insights.
• Build robust analytical solutions using Python and quantitative libraries.
• Apply machine learning, generative AI and automation to improve modelling, validation and reporting.
• Support client engagements from analysis through implementation and documentation.
• Prepare high-quality presentations and communicate findings to stakeholders.
• Contribute to internal quantitative and AI capabilities, reusable tools and market initiatives.
• Stay informed about regulatory developments and AI technologies relevant to financial institutions.

Skills

Quantitative modelling

Data analysis

Python

Machine learning

Generative AI

English

German

Communication

Education

Master's degree in quantitative discipline

Tools

Python

Job description

KPMG AG in Zurich is seeking a candidate to develop and validate quantitative models for financial risk, leveraging Python and AI techniques. You will analyze large datasets, perform statistical tests and translate results into clear, actionable insights for clients.

The role offers hybrid work, 80-100% workload, and start by agreement. A Master’s in a quantitative field and 0–2 years of experience are ideal; fluency in English and German is required, French is a plus.