Senior Risk Analytics & Visualisation Lead

nib Health Funds Limited; Sydney; Hybrid; AUD 170,000 - 210,000; Full time

Benefits offered by this job

New starter benefit

50% discount on employee health insur.

Paid volunteering leave

Nib Well Program

Corporate fitness discounts

Employee share plans

Short-term incentive program

Life and salary continuance insurance

18 weeks paid parental leave

5 days paid cultural leave for FirstN.

4 weeks paid gender affirmation leave

Job summary

nib is seeking a Risk Analytics & Visualisation Manager to lead analytics, visualisation and insights across our risk portfolio, with a core focus on cyber and technology risk. You will deliver dashboards and reliable risk reporting for management, executives and the Board.

You will combine data analytics, responsible AI and risk governance, manage the Risk Management Data Warehouse and a specialist team, and influence decision-making at senior levels while ensuring analytical quality and

Qualifications

• Experience delivering executive dashboards and storytelling with data.
• Strong capabilities in analytics, data integration (ETL) and forecasting.
• Knowledge of Snowflake data warehousing and performance tuning.

Responsibilities

• Lead analytics, visualisation and insights across risk portfolio for management, executives and Board.
• Oversee Risk Management Data Warehouse (RMDW), CI monitoring, automation and responsible AI use.
• Provide independent challenge and governance over risk data and controls.

Skills

Data visualization

Analytics & data engineering

Snowflake

End-to-end analytics

AI/ML techniques

Risk governance

Regulatory knowledge

Job description

nib is seeking a Risk Analytics & Visualisation Manager to lead analytics, visualisation and insights across our risk portfolio, with a core focus on cyber and technology risk. You will deliver dashboards and reliable risk reporting for management, executives and the Board.

You will combine data analytics, responsible AI and risk governance, manage the Risk Management Data Warehouse and a specialist team, and influence decision-making at senior levels while ensuring analytical quality and