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Investment Analytics Product Manager

Job Title: Investment Analytics Product Manager
Contract Type: Permanent
Location: Melbourne
Reference: 3056266
Job Published: November 20, 2019 13:01

Job Description

Investment Analytics Product Manager

Working within a Tier 1 Investment Bank based in Melbourne CBD, We're looking for a Product Manager to lead the charge on Investment Analytics across a broad range of data services including, analytics, insights, data governance, data management.
Key Responsibilities:
  • Working closely with customers and senior stakeholders to deliver on valuable outcomes including a definition of product vision, driving the roadmap and customer demand management
  • Demonstrating the ability to deliver sustainable technology solutions to solving complex problems
  • Identifying technology, people or process problems, propose solutions and leading from the front, collaborating towards the delivery of outcomes
  • Building and improving products towards being successful cost-efficient and simpler for customers
  • Making a decision, and finding it easy to translate between technical details and business value
  • Managing and monitoring/Service Management products similar to ours in a Product Management/Product Owner/Product Lead role
  • Taking steps to improve team culture and helping your peers, including transforming towards new ways of working to drive Agility and other objective
  • Taking functional leadership of others, either now or in the future

    Skills & Qualifications:
  • CFA / CIPM / CAIA or FRM Certs
  • 6 years within data services in a financial services institution
  • Core experience in data management, governance (MDM), analytics
  • Experience as a Business Analyst gathering business requirements, documenting functional and non-functional
    requirements and conducting workshops
  • Senior Project Management delivering a wide range of financial services projects including business intelligence, Data governance and insights

    Any hands-on technical experience;
  • Data modelling
  • Master data management and reference data management
  • Data integration
  • SQL
  • Data Visualisation
  • Database Architecture
  • Machine Learning (Python, R etc.)

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