Digital Solutions Business Analyst
Macquarie Group
Job Overview
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Job Description
The Opportunity at Macquarie Group
Macquarie Asset Management is a leading global asset manager, trusted by institutions, individuals and communities to responsibly manage approximately $A720 billion in assets. For decades, we have partnered with governments, institutions, and investors to acquire, develop and operate the essential assets that underpin modern economies, while providing clients with a diverse range of investment solutions across real assets, real estate and credit.
As part of our digital transformation, we are harnessing the power of digital, data and AI to redefine how private markets are managed, scaled and serviced. We are building an integrated technology platform that unlocks value, improves performance and shapes the future of our portfolio through innovation and strategic insights - setting a new benchmark for technology-enabled private-markets investing.
At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.
What Role Will You Play as a Digital Solutions Business Analyst?
You will support AI-driven initiatives across our Real Assets investment platform, enhancing how we collect, analyse and manage data, improving business processes, and supporting the development of digital and AI capabilities to drive efficiency and insights for our investment teams.
Operating at the intersection of private markets and technology, you will partner with our investment and portfolio performance teams to turn business priorities into digital, data driven solutions.
You will also dive deep into processes, uncover opportunities for AI capabilities and identify risks across the asset-management lifecycle, from portfolio monitoring and valuation to reporting and transaction management.
What You Offer
- Proven experience as a Business Analyst in financial services, ideally within private markets.
- Experience defining requirements for AI-driven projects, bridging the gap between data science and business stakeholders and ensuring AI models align with business objectives.
- Focused on data driven decision making, predictive analytics and automation, and experience working with both structured and unstructured data.
- Excellent communication and relationship building skills, with the ability to understand and explain highly technical concepts to non-technical stakeholders and bridge the gap between the two.
- Proficient with data analytics tools, such as Excel, SQL or BI platforms.
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.
What We Offer
At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:
Benefits at Macquarie
- 1 wellbeing leave day per year and a minimum of 25 days of annual leave.
- 26 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers.
- Paid fertility leave for those undergoing or supporting fertility treatment.
- 2 days of paid volunteer leave and donation matching.
- Access to a wide range of salary sacrificing options.
- Benefits and initiatives to support your physical, mental and financial wellbeing including, comprehensive medical and life insurance cover.
- Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services.
- Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription.
- Access to company funded emergency and backup dependent care services.
- Recognition and service awards.
- Hybrid and flexible working arrangements, dependent on role.
- Reimbursement for work from home equipment.
About Macquarie Asset Management
Macquarie Asset Management is a leading global asset manager, trusted by institutions, individuals and communities to responsibly manage $A720 billion in assets. MAM provides clients with a diverse range of investment solutions that seek to deliver superior risk-adjusted returns.
All figures as at 31 September 2025, excluding assets acquired by Nomura on 1 December 2025.
Our Commitment to Diversity, Equity and Inclusion
We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.
Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.
Key skills/competency
- AI-driven Initiatives
- Data Analysis
- Business Process Improvement
- Digital Transformation
- Private Markets
- Stakeholder Management
- Predictive Analytics
- Data Modeling
- Financial Services
- BI Platforms
How to Get Hired at Macquarie Group
- Research Macquarie Group's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight experience in financial services, private markets, and AI/data projects, matching the Digital Solutions Business Analyst role.
- Showcase analytical prowess: Prepare examples of how you've defined requirements for AI solutions and utilized data analytics tools.
- Prepare for behavioral questions: Focus on communication, stakeholder management, and bridging technical and business gaps effectively.
- Demonstrate domain expertise: Understand asset management, private markets, and digital transformation initiatives thoroughly.
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