Principal Advisor - Risk Intelligence and Analytics

We are looking for a Principal Advisor, Risk Intelligence and Analytics to help our Enterprise Risk team turn complex data into insight that informs decisions. In this role, you’ll use analytics, artificial intelligence and machine learning to identify emerging risks and changes in risk exposure, translate complex structured and unstructured date into insights. You will support risk monitoring, risk appetite discussions, scenario planning and reporting to senior leadership and the Board. This is an opportunity for someone who enjoys solving complex analytical problems and wants to strengthen how risk intelligence is used across the business.

Reporting to the Director – Risk Governance, Analysis and Reporting and working with Enterprise Risk and Insurance, Product Group Risk teams, Information Systems & Technology, Finance, Business Analysis, and technical SMEs, you will be:

Apply artificial intelligence, machine learning and advanced analytics to improve risk analysis and create practical business solutions.

Analyse internal and external data to identify trends, anomalies, emerging risks, relationships and concentrations across the risk portfolio.

Apply quantitative and analytical techniques (e.g. statistical analysis, scenario modelling)to assess risk exposure and support risk appetite monitoring.

Deliver economic, geopolitical, market and industry intelligence and generate forward-looking insights to support targeted risk reviews .

Develop and analyse leading and lagging risk indicators, executive dashboards and clear visualisations for leadership and Board reporting.

Automate data gathering, analysis and reporting to improve accuracy, timeliness and efficiency.

Integrate structured and unstructured data, apply quality controls, and document methods and assumptions to create reusable datasets and tools.

We’re looking for someone whose experience aligns with the key requirements below. You do not need to meet every “helpful for success” item to apply - if you bring relevant experience and are excited by the opportunity, we encourage you to submit an application.

Required for Success

A commitment to the safety of yourself and your team.

Strong quantitative and data analytics capability, with demonstrated experience identifying patterns, trends and anomalies in complex datasets.

Demonstrated experience applying artificial intelligence, machine learning or advanced analytics to practical business problems.

Business acumen and experience in communicating complex analytical findings to technical and non-technical audiences including data dashboards and visualisation.

Hands-on capability with Python, SQL, R, Excel or equivalent analytical tools, including integrating data from multiple structured and unstructured sources.

A qualification in a quantitative or analytical discipline,

Helpful for Success

Experience working with risk management frameworks.

Experience working with SAP data or other enterprise data sources.

Experience with scenario modelling, stress testing, risk indicators or risk appetite monitoring.

Exposure to economic, geopolitical, market or industry intelligence in a large or complex organisation.

Rio Tinto is a leading global mining and materials company. We operate in 35 countries where we produce iron ore, copper, aluminium, critical minerals, and other materials needed for the global energy transition and for people, communities, and nations to thrive.

We have been mining for 150 years and operate with knowledge built up across generations and continents. Our purpose is finding better ways to provide the materials the world needs – striving for innovation and continuous improvement to produce materials with low emissions and to the right environmental, social and governance standards. But we can’t do it on our own, so we’re focused on creating partnerships to solve problems, create win-win situations and meet opportunities.

Respect and Inclusion At Rio Tinto, we particularly welcome and encourage applications from Indigenous Peoples, women, the LGBTQ+ community, mature workers, people with disabilities and people from different cultural backgrounds. We are committed to an inclusive environment where people feel comfortable to be themselves. We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome – they are essential to our success. We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation or anything else that makes us different.