Senior Project Manager – Investments Data & Analytics
6-Months
Day Rate: $1050 - $1200
Melbourne or Sydney
Opportunity
· An opportunity has become available for an experienced Project Manager to join the Investments Data & Analytics function within one of Australia's leading financial services organisations.
· Working across a high-profile portfolio of investment technology initiatives, you'll lead the delivery of strategic data and platform projects that support investment operations, risk analytics and front-office decision making.
· The ideal candidate will have a strong understanding of investment management, data platforms and Agile project delivery, with the ability to confidently engage senior stakeholders across both business and technology.
Key Responsibilities
· Lead the end-to-end delivery of complex Investment Data and Analytics projects.
· Develop and manage project plans, milestones, budgets, RAID logs and governance artefacts.
· Partner with Investment business stakeholders to define scope, priorities and delivery outcomes.
· Coordinate cross-functional teams including Business Analysts, Data Engineers, Architects, Developers and QA.
· Manage dependencies across multiple workstreams and delivery teams.
· Drive Agile ceremonies including sprint planning, backlog refinement, showcases and retrospectives alongside Product Owners and Scrum teams.
· Identify and manage project risks, issues and delivery dependencies.
Experience
· Project Management experience within Investment Management, Asset Management, Superannuation or Wealth Management.
· Strong understanding of investment operations and investment data.
· Experience delivering projects involving investment platforms, performance data, risk analytics or portfolio reporting.
· Experience working with Agile delivery methodologies.
· Strong knowledge of Jira, Confluence and Agile delivery frameworks.
Highly Desirable
· Private Markets (Infrastructure, Property, Private Equity, Credit)
· Fund structures and investment operating models
· Risk Analytics platforms; FactSet, Bloomberg, Aladdin, SimCorp or similar investment platforms
· SQL or data analysis exposure (not hands-on, but sufficient to engage technical teams effectively)
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