Preetham Arvind
Director
Preetham is a qualified actuary with deep expertise in advanced analytics, actuarial pricing and data-driven decision-making in injury schemes as well as non-insurance sectors such as technology and government.
He brings a diverse and advanced modelling skillset, yet prides himself on delivering pragmatic, fit-for-purpose solutions that are best suited to his clients’ needs, helping them navigate complexity with confidence.
During a recent sabbatical, Preetham undertook advanced study at the University of Oxford where he researched GenAI safety at a renowned AI lab (Torr Vision Group). He is passionate about combining his GenAI experience with his actuarial training to help his clients maintain a competitive edge in analytics-driven decisions.
He says:
“Strong analytics only delivers impact when it is understood, trusted and embedded in decision-making.”
Preetham’s experience includes:
- Using advanced analytics to help various injury scheme clients understand their claim cost drivers, portfolio risk and emerging trends
- Leading the A/B testing of product and operational changes, while steering the strategic direction of engineering and customer support operations teams at a large technology firm
- Advising CTP regulators on various topics such as technical pricing, insurer profitability and overall health
- Undertaking economic evaluation to assess the impact of various government initiatives on reducing suicide rates in NSW
- Developing financial projection models to estimate long-term costs for large, rapidly evolving social insurance schemes
- Fellow of the Institute of Actuaries of Australia
- Chartered Enterprise Risk Actuary
- MSc in Statistical Science (Distinction, ML/AI major), University of Oxford
- Bachelor of Actuarial Studies (First Class Honours), ANU
- Bachelor of Finance (Quantitative Finance), ANU
Preetham Arvind’s
Areas of Expertise
Preetham Arvind’s Areas of Expertise
Advanced Analytics
Own and master industry-leading analytics solutions through a creative partnership
Government
Measure, model and identify opportunities for better policy and programs
Recent Articles
Recent Articles
More articles
Australia’s EV boom – How insurers need to respond
In March 2026, 16,000 new EVs were delivered, up from around 8,000 a year earlier. What does this mean for motor insurers?
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Key trends in quantitative evaluation for Government
Drawing on a decade of experience, Hugh Miller reflects on how quantitative evaluation helps government better understand program impact.
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