Consultant - Insurance

Sydney, New South Wales, Australia Full-time

Quantium

For over 15 years Quantium have combined the best of human and artificial intelligence to power possibilities for individuals, organisations and society. Our solutions make sense of what has happened and what will, could or should be done to re-shape industries and societies around the needs of the people they serve.

As one of the world’s fully diversified data science and AI leaders we operate across every sector of the economy and we’re growing fast - with growth comes opportunity! We’re passionate about building out our team of smart, fun, diverse and motivated people.

We combine a team of experts that spans data scientists, actuaries, statisticians, business Consultants, strategy consultants, engineers, technologists, programmers, product developers, and futurists – all dedicated to harnessing the power of data to drive transformational outcomes for our clients.

We actively foster a culture where our people can stretch themselves to reach their full potential.

We also know that work has to work for you, and modern life is fast-paced, and balance can be tricky. You want to work where you are respected and valued as an individual, not a number. Quantium embraces a flexible and supportive environment dedicated to powering possibilities for our team members, clients and partners.

Role summary

The Consultant is a technical role that delivers high quality end-to-end analytical support across multiple projects within the Insurance Industry Vertical as a member of the project team. The Consultant is also a commercially savvy adviser who works with internal stakeholders and the wider team to transform client questions and issues into analytical solutions.

Key stakeholders will include: direct team members (Consultants, Senior Consultant, Lead Consultant) Executive Managers and key external client stakeholders.

Key responsibilities

  • Deliver high quality analytics, from data quality assessment, data manipulation, method selection, design & application, insights generation and visualisation
  • Intensive learning and acquisition of key analytical, technical and commercial skills and Quantium business knowledge to become a proficient Consultant working under minimal supervision
    • KPIs: Timeliness, accuracy, manager and client feedback
  • Often in collaboration with your internal stakeholders, you will transform client questions and problems into analytical solutions
  • Help clients understand and optimise use of Quantium products and / or solutions
  • Nurture and manage your career progression and industry knowledge

 

Key activities

  • Working in a team to support end-to-end analytical projects
    • Liaising with internal and external stakeholders to determine objectives / scope of upcoming projects
    • Data exploration, cleansing and manipulation
    • Determining appropriate type of analysis and undertaking analysis
    • Extracting insights
    • Clear presentation of insights via spreadsheets, PowerPoint presentations, self-service analytical visualisation tools and face-to-face client meetings
    • Ongoing stakeholder interaction on project progress
    • Feedback process to ensure continuous improvement with team
  • Proactively participate in learning forums and sharing knowledge with wider team
  • Attend client meetings alongside the Client Lead to understand needs and help translate them into actionable insights


Experience and education required

  • 2+ years’ experience in a highly technical analytics environment, carrying out data analytics
  • Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline
  • Knowledge of technical analytics discipline, including data preparation and foundational analytics concepts
  • Experience with successfully managing both internal and external stakeholders, delivering against projects, tasks and activities in a dynamic deadline driven environment
  • Commercial acumen to understand business needs and be able to suggest the commercial impacts of different analytics solutions or approaches
  • Coding and modelling experience in SAS / SQL / R / Python and / or big data platforms
  • Experience working with large, complex datasets
  • High attention to detail
  • Drive for continuous improvement