Julius Baer

Requirements

• Higher university degree in a quantitative area (Artificial Intelligence, Mathematics, Engineering, Quantitative Finance)
• Profound knowledge and preferably a minimum of 2 years of experience working with non-financial models (e.g. Machine Learning, Artificial Intelligence, generative AI / agentic AI)
• Experience with financial models (e.g. Liquidity/ALM, Stress Testing, IRRBB, Market Risk, Credit Risk, Investment/Research/ESG) would be an advantage
• Programming experience in languages such as Python, R, SQL
• Autonomous working style, with the ability to demonstrate initiative defining validation scope, designing independent technical tests, clearing and reporting of validation outcome
• Results-oriented individual with outstanding interpersonal skills, excellent written and verbal communication skills in English (German is an advantage)
• Focused on clients and can communicate impactfully with business partners, explaining technical and complex topics to a diverse audience

Benefits

• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Gym Membership
• Home Office Budget
• Learning Budget

Skills

Requirements

• Master's degree in STEM or Economics
• Passion for risk management
• Strong analytical skills
• Ability to work independently
• Good communication skills
• Proficiency in Python and R
• Experience with machine learning

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Master's degree in STEM or Economics
• Passion for risk management
• Strong analytical skills
• Ability to work independently
• Good communication skills
• Proficiency in Python and R
• Experience with machine learning

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Higher university degree in a quantitative area
• Profound knowledge and hands-on experience in validating financial and/or non-financial models
• Expertise in data assembling and analysis, computational statistics, anomaly detection, AI/ML, understanding of ML Ops
• Strong programming skills (e.g., Python, R, VBA, JAVA, SQL)

Skills

Requirements

• Higher university degree in a quantitative area
• Profound knowledge and hands-on experience in validating financial and/or non-financial models
• Expertise in data assembling and analysis, computational statistics, anomaly detection, AI/ML, understanding of ML Ops
• Strong programming skills (e.g., Python, R, VBA, JAVA, SQL)

Skills