Julius Baer

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.

The Model Validation - Quantitative Analyst is a key member of the Model Risk Management team, within the Group Risk Management and Assurance unit (CRO) and is responsible to perform independent technical validations on non-financial (e.g. Compliance, Machine Learning/Artificial Intelligence / generative AI) as well as financial (e.g. Stress Testing, Liquidity/ALM, Credit Risk, Market Risk, Investment/Research) models, enforcing model governance and validation standards, managing and reporting model risk to senior management.

YOUR CHALLENGE

• Perform independent validation of models (with a focus on AI and generative AI / Agentic AI / RAG systems) through statistical techniques, development of benchmark models and data analysis, in accordance with a multi-annual review plan. This includes:
  • testing of the model’s assumptions, conceptual soundness, implementation, appropriateness of input data, model parameters, and their calibration accuracy
  • performance of model risk rating assessments
  • identification and evaluation of model limitations, and assessment of overall model risk in new and existing models
  • production and delivery of model validation reports in high standards to evidence a sound challenge and risk-oriented validation findings
• Track and verify model risk mitigation activities and ensure adequate oversight over models through their lifecycle
• Maintain and further develop the model governance framework and model risk management processes
• Monitor model performance indicators along standardized risk metrics
• Build strong relationships and interact with model owners, developers, users, subject matter experts and Risk Management functions both at headquarter in Zurich and in foreign locations

YOUR PROFILE

• Higher university degree in a quantitative area (Artificial Intelligence, Mathematics, Engineering, Quantitative Finance), Master or PhD level, FRM or PRM is an advantage
• 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.

We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site.

Is this not quite what you are looking for? Set up a job alert by creating a candidate account here.

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.

Kick-start your career with Julius Baer’s Graduate Programme – October 2026

Are you about to complete your master’s degree or recently graduated and ready to turn ambition into impact? At Julius Baer, we empower graduates to shape the future of wealth management.

Our 18-month Graduate Programme is designed to unleash your potential through three dynamic rotations, including an international assignment. You’ll gain hands-on experience, build a global network, and lay the foundation for a thriving career in wealth management.

As a Flex-Track Graduate, you will start in Model Risk Management for a first 6 month of engagement and will then be able choose from a set of content-wise related offerings for your two following ‘rotations’, of which one of them will be abroad.

Your team:

In the area of Group Risk Management & Assurance you will join in the first rotation the Model Risk Management (MRM) team, which oversees and validates a wide range of models used across all units of Julius Baer.

What’s in it for you?

• Tailored career path: Develop expertise in your chosen field while growing personally and professionally
• Global perspective: Gain international experience and work with diverse teams
• Community & mentorship: Learn from industry leaders and peers and build a strong network
• Impactful work: Contribute to projects that make a real difference from day one

Start date: 1 October 2026

Curious to learn more about our Graduate Programme? Visit our careers website: https://www.juliusbaer.com/en/careers/graduates/

YOUR CHALLENGE

• Take responsibility for one or more regular activities of the MRM team such as independent validation of financial risk models (e.g. credit risk, market risk, liquidity risk) and non-financial risk models (e.g., Artificial Intelligence / Machine Learning models), daily operations in the model governance, terms of assessing model performance, limitations and sensitivity to parameters through quantitative techniques

• Develop and implement models that are used in risk management, or risk identification

• Work closely with quantitative analysist, risk managers, machine learning engineers and IT

YOUR PROFILE

• Master's degree from a university or university of applied sciences with above-average grades in STEM (Science, Technology, Engineering, and Mathematics), Economics or Banking and Finance (graduation max. 12 months ago)

• Passion for model development, implementation (i.e. coding) and validation

• Strong analytical and conceptual skills, along with an interest in quantitative models and statistical testing

• Genuine interest in financial markets and AI / gen AI applications

• Strong programming knowledge, preferably Python

• A global mindset, excellent interpersonal skills, and a strong appetite for learning

• Fluency in English, with additional languages being a plus

• Eligibility to work in the country where you apply for the position

We review applications on a rolling basis. Thank you for applying early and for your patience during the review process.

We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site.

Is this not quite what you are looking for? Set up a job alert by creating a candidate account here.

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.

Kick-start your career with Julius Baer’s Graduate Programme – October 2026

Are you about to complete your master’s degree or recently graduated and ready to turn ambition into impact? At Julius Baer, we empower graduates to shape the future of wealth management.

Our 18-month Graduate Programme is designed to unleash your potential through three dynamic rotations, including an international assignment. You’ll gain hands-on experience, build a global network, and lay the foundation for a thriving career in wealth management.

As a Flex-Track Graduate, you will start in Model Risk Management for a first 6 month of engagement and will then be able choose from a set of content-wise related offerings for your two following ‘rotations’, of which one of them will be abroad.

Your team:

In the area of Group Risk Management & Assurance you will join in the first rotation the Model Risk Management (MRM) team, which oversees and validates a wide range of models used across all units of Julius Baer.

What’s in it for you?

• Tailored career path: Develop expertise in your chosen field while growing personally and professionally
• Global perspective: Gain international experience and work with diverse teams
• Community & mentorship: Learn from industry leaders and peers and build a strong network
• Impactful work: Contribute to projects that make a real difference from day one

Start date: 1 October 2026

Curious to learn more about our Graduate Programme? Visit our careers website: https://www.juliusbaer.com/en/careers/graduates/

YOUR CHALLENGE

• Take responsibility for one or more regular activities of the MRM team such as independent validation of financial risk models (e.g. credit risk, market risk, liquidity risk) and non-financial risk models (e.g., Artificial Intelligence / Machine Learning models), daily operations in the model governance, terms of assessing model performance, limitations and sensitivity to parameters through quantitative techniques

• Develop and implement models that are used in risk management, or risk identification

• Work closely with quantitative analysist, risk managers, machine learning engineers and IT

YOUR PROFILE

• Master's degree from a university or university of applied sciences with above-average grades in STEM (Science, Technology, Engineering, and Mathematics), Economics or Banking and Finance (graduation max. 12 months ago)

• Passion for model development, implementation (i.e. coding) and validation

• Strong analytical and conceptual skills, along with an interest in quantitative models and statistical testing

• Genuine interest in financial markets and AI / gen AI applications

• Strong programming knowledge, preferably Python

• A global mindset, excellent interpersonal skills, and a strong appetite for learning

• Fluency in English, with additional languages being a plus

• Eligibility to work in the country where you apply for the position

We review applications on a rolling basis. Thank you for applying early and for your patience during the review process.

We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site.

Is this not quite what you are looking for? Set up a job alert by creating a candidate account here.

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.

The Model Validation – Senior Quantitative Analyst is a member of the Model Risk Management team, within the Group Risk Management and Assurance unit (CRO) and is responsible to perform independent technical validations on non-financial models (e.g. Compliance, Machine Learning/Artificial Intelligence/gen AI) as well as financial models (e.g. Stress Testing, Liquidity/ALM, Credit Risk, Market Risk, Investment/Research).

YOUR CHALLENGE

• Perform independent validation of models, in accordance with a multi-annual review plan. This includes:

  • testing of the model’s assumptions (including expert-based judgements), conceptual soundness, robust implementation, appropriateness of input data, model parameters, and their calibration accuracy (through statistical techniques, development of benchmark models and data analysis),

  • reviewing the governance around the model, its usage, and its documentation

  • identification and evaluation of model limitations, and assessment of overall model risk, including assigning a model risk rating

  • production and delivery of high-quality model validation reports to evidence a sound challenge and risk-oriented validation findings
     

• Supervise a small team of junior model validation quantitative analysists, in their day-to-day model validation and model governance tasks

• Track and verify model risk mitigation activities and ensure adequate oversight over models through their lifecycle

• Monitor model performance indicators along standardized risk metrics

• Build strong relationships and interact with model owners, developers, users, subject matter experts and Risk Management functions both at headquarter in Zurich and in foreign locations

YOUR PROFILE

• Higher university degree in a quantitative area (Mathematics, Statistics, Economics, Physics, Engineering, Quantitative Finance, Data / Computer Science), Master or PhD level, FRM or PRM is an advantage

• Profound knowledge and hands-on experience in validating financial (market, credit, liquidity risk etc.) and/or non-financial models (Compliance, Information Security etc.) and use cases for Large Language Models (generative AI) and/or Machine Learning models (predictive AI)

• 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, …) to be able to implement own testing code to challenge the to-be-validated model

• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges

• Results-oriented individual with outstanding interpersonal skills, written and verbal communication skills, proficiency in English. Fluency in German is an additional asset

• Focused on stakeholders, can communicate impactfully with business partners and explain technical and complex themes to a diverse range of audiences including senior management

As part of your application, please ensure your cover letter includes the following:

• A brief statement describing one of the most challenging problems you have encountered related to model validation, including details on the context, your analytical approach, and the solution implemented

• For areas where you identify strong alignment with the role’s requirements, we encourage you to provide specific, concrete examples from your professional experience that demonstrate your expertise and achievements
   

This will help us better understand your technical depth, problem-solving ability, and relevance to the responsibilities of the position.

We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site.

Is this not quite what you are looking for? Set up a job alert by creating a candidate account here.

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.

The Model Validation – Senior Quantitative Analyst is a member of the Model Risk Management team, within the Group Risk Management and Assurance unit (CRO) and is responsible to perform independent technical validations on non-financial models (e.g. Compliance, Machine Learning/Artificial Intelligence/gen AI) as well as financial models (e.g. Stress Testing, Liquidity/ALM, Credit Risk, Market Risk, Investment/Research).

YOUR CHALLENGE

• Perform independent validation of models, in accordance with a multi-annual review plan. This includes:

  • testing of the model’s assumptions (including expert-based judgements), conceptual soundness, robust implementation, appropriateness of input data, model parameters, and their calibration accuracy (through statistical techniques, development of benchmark models and data analysis),

  • reviewing the governance around the model, its usage, and its documentation

  • identification and evaluation of model limitations, and assessment of overall model risk, including assigning a model risk rating

  • production and delivery of high-quality model validation reports to evidence a sound challenge and risk-oriented validation findings
     

• Supervise a small team of junior model validation quantitative analysists, in their day-to-day model validation and model governance tasks

• Track and verify model risk mitigation activities and ensure adequate oversight over models through their lifecycle

• Monitor model performance indicators along standardized risk metrics

• Build strong relationships and interact with model owners, developers, users, subject matter experts and Risk Management functions both at headquarter in Zurich and in foreign locations

YOUR PROFILE

• Higher university degree in a quantitative area (Mathematics, Statistics, Economics, Physics, Engineering, Quantitative Finance, Data / Computer Science), Master or PhD level, FRM or PRM is an advantage

• Profound knowledge and hands-on experience in validating financial (market, credit, liquidity risk etc.) and/or non-financial models (Compliance, Information Security etc.) and use cases for Large Language Models (generative AI) and/or Machine Learning models (predictive AI)

• 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, …) to be able to implement own testing code to challenge the to-be-validated model

• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges

• Results-oriented individual with outstanding interpersonal skills, written and verbal communication skills, proficiency in English. Fluency in German is an additional asset

• Focused on stakeholders, can communicate impactfully with business partners and explain technical and complex themes to a diverse range of audiences including senior management

As part of your application, please ensure your cover letter includes the following:

• A brief statement describing one of the most challenging problems you have encountered related to model validation, including details on the context, your analytical approach, and the solution implemented

• For areas where you identify strong alignment with the role’s requirements, we encourage you to provide specific, concrete examples from your professional experience that demonstrate your expertise and achievements
   

This will help us better understand your technical depth, problem-solving ability, and relevance to the responsibilities of the position.

We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site.

Is this not quite what you are looking for? Set up a job alert by creating a candidate account here.