Quant Risk & AI Consultant – FS, Zurich

NZZone; Zürich; Hybrid; CHF 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid working

Mentoring programs

Training & education

Lunch allowance

Parental leave

Parking

Job summary

KPMG in Zurich is seeking a quantitative modelling analyst to develop and validate models for market, credit, and liquidity risk. You will analyse large datasets, perform statistical tests and translate results into actionable client insights.

You'll build robust analytical solutions in Python, explore Generative AI applications, and support client engagements from design to documentation, while staying abreast of regulatory developments.

Qualifications

• Master's degree in quantitative discipline.
• 0-2 years of relevant experience in quantitative modelling or risk analytics.
• Knowledge of ML/Generative AI is advantageous.

Responsibilities

• Develop, validate and enhance quantitative models for financial risk management.
• Analyse large datasets and translate results into actionable insights for clients.
• Build robust analytical solutions using Python and relevant libraries.
• Apply ML/AI techniques to improve modelling, validation, reporting and risk processes.
• Support client engagements from analysis and solution design through implementation and documentation.
• Prepare high-quality presentations and communicate technical findings clearly to stakeholders.

Skills

Quantitative modelling

Python

Machine learning

Data analysis

Education

Master's degree in quantitative discipline

Tools

Python

Job description

KPMG in Zurich is seeking a quantitative modelling analyst to develop and validate models for market, credit, and liquidity risk. You will analyse large datasets, perform statistical tests and translate results into actionable client insights.

You'll build robust analytical solutions in Python, explore Generative AI applications, and support client engagements from design to documentation, while staying abreast of regulatory developments.