Business Analyst & Project Manager with the focus on AI Governance – Compliance Analytics & Transformation 100% (f/m/d)

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.

IHRE AUFGABEN

• Conduct in-depth risk assessments for AI/ML systems across the lifecycle, evaluating technical and non-technical risks

• Support the design and implementation of enterprise-wide AI governance frameworks, including technical policies, standards, control mechanisms, and best practices aligned with international guidelines (e.g., NIST AI RMF, EU AI Act)

• Monitor developments in global AI regulation and standards, interpreting legal and compliance obligations into operational and technical requirements

• Work collaboratively with internal technical stakeholders, including data scientists, ML engineers, product owners, and IT security teams, to integrate governance checks into development workflows and processes

• Develop and deliver practical training sessions and workshops to raise awareness on responsible AI usage, targeting both technical teams and business units

• Implement monitoring and auditing capabilities to ensure ongoing compliance with internal policies and external regulatory expectations

• Translate complex AI governance concepts into accessible messaging for non-technical audiences while maintaining rigorous technical depth when engaging with developers and data teams

YOUR PROFILE

• University degree in Computer Science, Data Science, Informatics, Business Engineering, Finance, Law, or a related discipline

• Up to 6 years of professional experience, ideally within banking or financial services, with demonstrated exposure to Compliance, Operational Risk, Legal, or Technology Governance

• Solid technical foundation in AI/ML and architecture concepts: familiarity with supervised/unsupervised learning, model evaluation, feature engineering, and MLOps principles

• Hands-on experience or strong conceptual understanding of AI project lifecycles

• Proven proficiency with data analysis tools (Excel, SQL) and MS Office suite, particularly advanced use of PowerPoint for executive reporting and Excel for risk modelling or data review

• Demonstrated analytical and problem-solving abilities, capable of identifying systemic risks and proposing scalable technical and procedural mitigating measures

• Knowledge of key AI regulatory landscapes, including the EU AI Act and emerging Swiss and global standards

• Understanding of data governance, privacy-by-design, and model risk management principles; prior involvement in AI pilot projects or model reviews is highly advantageous

• Exposure to or experience with responsible AI toolkits

• Exceptional communication and interpersonal skills, able to engage confidently with both technical experts and senior business stakeholders

• Strong project management acumen, with the ability to drive cross-functional initiatives independently and meet deadlines under minimal supervision

• Fluency in English (corporate language); German language skills are a distinct advantage given regional operations

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