Senior Analyst - Model, Data and AI Risk Internal Audit

Macquarie Group; Indonesia; On-site; IDR 400,000,000 - 800,000,000; Full time

Job summary

Macquarie Group is seeking a Senior Analyst in Model, Data and AI Risk Internal Audit to evaluate traditional models, ML/AI solutions, and governance across the AI lifecycle. The role emphasizes data quality, privacy controls, and regulatory considerations in a complex financial services environment.

The ideal candidate demonstrates strong communication with senior stakeholders, with a proactive approach to innovation and continuous improvement in technology risk management and internal audit

Qualifications

• Experience assessing or developing traditional quantitative models, machine learning models and AI solutions.
• Strong understanding of model performance testing, monitoring and governance.
• Knowledge of modern AI platforms, architectures and controls across the AI lifecycle.
• Ability to review and evaluate data quality, lineage and privacy controls.
• Understanding of regulatory frameworks such as GDPR, EU AI Act and wider model and AI risk guidance.
• Strong communication and stakeholder management skills.
• Experience translating complex technical concepts into clear insights for senior stakeholders.
• Proactive and collaborative approach with passion for innovation and responsible use of technology.
• Experience reviewing or developing quantitative models, machine learning models and AI solutions.
• Knowledge of AI platforms, architectures and controls across the lifecycle.

Responsibilities

• Experience assessing or developing traditional quantitative models, machine learning models and AI solutions, with a strong understanding of model performance testing, monitoring and governance.
• Knowledge of modern AI platforms, architectures and controls, including associated technology, operational and risk considerations across the AI lifecycle.
• Ability to review and evaluate data quality, lineage and privacy controls, alongside an understanding of relevant regulatory frameworks such as GDPR, the EU AI Act and wider model and AI risk guidance.
• Strong communication and stakeholder management skills, with experience translating complex technical concepts into clear insights and building trusted relationships with senior stakeholders.
• A proactive and collaborative approach, with a passion for innovation, continuous improvement and creating positive outcomes through the responsible use of technology and data.
• Experience assessing or developing traditional quantitative models, machine learning models and AI solutions, with a strong understanding of model performance testing, monitoring and governance.
• Knowledge of modern AI platforms, architectures and controls, including associated technology, operational and risk considerations across the AI lifecycle.
• Ability to review and evaluate data quality, lineage and privacy controls, alongside an understanding of relevant regulatory frameworks such as GDPR, the EU AI Act and wider model and AI risk guidance.
• Strong communication and stakeholder management skills, with experience translating complex technical concepts into clear insights and building trusted relationships with senior stakeholders.
• A proactive and collaborative approach, with a passion for innovation, continuous improvement and creating positive outcomes through the responsible use of technology and data.

Job description

Senior Analyst - Model, Data and AI Risk Internal Audit

• Experience assessing or developing traditional quantitative models, machine learning models and AI solutions, with a strong understanding of model performance testing, monitoring and governance.
• Knowledge of modern AI platforms, architectures and controls, including associated technology, operational and risk considerations across the AI lifecycle.
• Ability to review and evaluate data quality, lineage and privacy controls, alongside an understanding of relevant regulatory frameworks such as GDPR, the EU AI Act and wider model and AI risk guidance.
• Strong communication and stakeholder management skills, with experience translating complex technical concepts into clear insights and building trusted relationships with senior stakeholders.
• A proactive and collaborative approach, with a passion for innovation, continuous improvement and creating positive outcomes through the responsible use of technology and data.
• Experience assessing or developing traditional quantitative models, machine learning models and AI solutions, with a strong understanding of model performance testing, monitoring and governance.
• Knowledge of modern AI platforms, architectures and controls, including associated technology, operational and risk considerations across the AI lifecycle.
• Ability to review and evaluate data quality, lineage and privacy controls, alongside an understanding of relevant regulatory frameworks such as GDPR, the EU AI Act and wider model and AI risk guidance.
• Strong communication and stakeholder management skills, with experience translating complex technical concepts into clear insights and building trusted relationships with senior stakeholders.
• A proactive and collaborative approach, with a passion for innovation, continuous improvement and creating positive outcomes through the responsible use of technology and data.