Head of Risk Analytics & Visualization (Hybrid)

nib Group

Newcastle

Hybrid

AUD 140,000 - 190,000

Full time

11 days ago

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Benefits offered by this job

Hybrid work
New starter home workspace setup
Health insurance discount
Volunteer leave
Well Program
Employee share plans
Incentive program
Parental leave 18 weeks
Cultural leave 5 days
Gender affirmation leave 4 weeks

Job summary

nib is seeking a Risk Analytics & Visualisation Manager to lead analytics, visualisation and insights across the group’s risk portfolio, with a focus on cyber and technology risk.

You will deliver dashboards and reliable risk reporting for management, executives and the Board, combining data analysis, responsible AI and risk expertise.

The role leads a team, manages the Risk Management Data Warehouse and champions independent challenge to risk appetite and regulatory obligations.

Qualifications

  • Proven analytics leadership with ability to influence decisions.
  • Hands-on while leading a team across data analytics, governance and stakeholder engagement.
  • Experience presenting insights to executives and senior leadership.
  • Strong data visualisation and storytelling for board-level audiences.
  • Snowflake data warehousing, ETL, and performance optimisation.
  • Experience applying AI/ML to support analysis and decision-making.
  • Knowledge of APRA prudential standards and ISO 27001.

Responsibilities

  • Lead analytics, visualisation and insights across the risk portfolio.
  • Deliver dashboards and risk reporting for management, executives and the Board.
  • Oversee the Risk Management Data Warehouse and data quality.
  • Apply responsible AI and QA for analytic outputs.
  • Provide independent challenge to risk appetite and regulatory obligations.

Job description

nib is seeking a Risk Analytics & Visualisation Manager to lead analytics, visualisation and insights across the group’s risk portfolio, with a focus on cyber and technology risk.

You will deliver dashboards and reliable risk reporting for management, executives and the Board, combining data analysis, responsible AI and risk expertise.

The role leads a team, manages the Risk Management Data Warehouse and champions independent challenge to risk appetite and regulatory obligations.

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