Data Delivery Lead | Market Risk

In this role you will engage with Market Risk stakeholders to understand regulatory and business requirements, identify opportunities to improve data capabilities, and deliver solutions that support business objectives. Additionally, you will connect with the broader data team to ensure data design patterns, architectural principles and data management standards are adhered to, and assist in uplifting Macquarie’s data capabilities with a specific focus on Market Risk.

As the Market Risk Data Delivery Lead, you will partner closely with the Market Risk Portfolio Lead and Market Risk Technology Lead to define the portfolio roadmap and manage the Market Risk data delivery book of work. You will be accountable for the successful delivery of data initiatives across the Market Risk portfolio, including managing scope, priorities, dependencies, risks, and stakeholder engagement. The role will be responsible for defining data deliverables and the data transformation roadmap across both Market Risk transformation programmes and BAU initiatives.

You will lead and mentor a team of two Data Analysts, providing delivery oversight, coaching, and capability uplift, while conducting data analysis to understand business and modelling processes. You will translate business requirements into data and functional requirements, define data pipeline uplift solutions and data requirements to achieve business objectives, and ensure end-to-end delivery aligns with data architecture principles and data management frameworks. In addition, you will build and maintain strong stakeholder relationships across Market Risk, Technology, and Enterprise Data teams to drive successful outcomes and support strategic transformation initiatives.

Experience in a Data Delivery Lead, Senior Data Analyst, Lead Business Analyst, Data Architect/ Modeller or similar role with financial risk management experience

Familiarity with Market Risk, Financial Risk Management, trading and market data, capital and regulatory reporting processes

Technical experience for large volume data analysis and validation (such as SQL/ Python)

Strong analytical and problem-solving skills, with the ability to develop practical solutions to complex business and data challenges

Experience driving end-to-end process and data uplift initiatives across business, data and technology functions will be highly regarded

Ability to engage stakeholders with a technical mindset and conceptualise effective solutions from the outset

Passion for data and an inquisitive mindset with a genuine desire to understand and solve problems

Exceptional communication and interpersonal skills, with the ability to engage and influence senior stakeholders

Strong organisational skills, including experience using JIRA and managing competing priorities in a dynamic environment.

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

Our Risk Management Group works as an independent, and centralised function, responsible for independent and objective review and challenge, oversight, monitoring and reporting in relation to Macquarie’s material risks. We are a global team that aims to manage the risks of today and anticipate the risks of tomorrow. Our divisions include compliance, credit, financial crime risk, market risk, operational risk, aggregate risk and prudential, and central.

We are committed to providing an inclusive environment for all, where different experiences, skills and perspectives are valued and respected. Macquarie provides access to opportunities for all individuals regardless of race, colour, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, genetic information, marital status, gender identity or any other characteristic or circumstance.

We provide reasonable adjustments to individuals who may need support during the recruitment process and employment. If you require an adjustment, please let us know during the application process.