Giorgis Hadzilacos is a senior leader with over 20 years of experience spanning sustainable finance, regulation, and insurance. He has held leadership roles at the Bank of England, Willis Re, and M&G Investments, and has operated at executive levels, including direct supervisory responsibilities.
At M&G, Giorgis leads the nature & climate data-driven insights workstream that supports M&G Investment desks on sustainability-related quant tasks ranging from evaluating portfolio decarbonisation projections to assessing biodiversity impact.
He is an Imperial College graduate, and has worked as Chartered Civil Engineer both in the UK and internationally.
All Sessions by Giorgis Hadzilacos
CLIMATE SCENARIO ANALYSIS
Climate scenario analysis: regulatory whip or unpriced alpha opportunity?
- Is climate scenario analysis undertaken solely to meet regulatory and reporting requirements, or are firms using it to inform real business decisions?
- Can scenario analysis be used to identify unpriced alpha and/or investment opportunities?
- Can scenario analysis credibly inform strategic decisions such as transition plans
- Are the new‑generation models finally operating at sufficient granularity and overcoming the data limitations that have tyrannised the industry?
SCENARIO ALIGNMENT – PANEL
Turning Scenarios into Capital: NZIF, Transition Finance and Externalities Accounting on Bank Balance Sheets
- What “credible alignment” looks like across asset classes? How transition scenarios feed financial effects, targets and stewardship?
- “From emissions to monetized externalities” (Impact Measurement and Valuation): pricing power, input costs, liability/penalty, stranded-asset channels, corporate issuer and portfolio views; governance guardrails
- Market signal lightning: What’s new in LMA transition loan guidance; issuer demand and bank structuring pain points (4′)? How latest transition finance publications clarify use-of-proceeds vs. capex-linked plans? Expectations for KPIs/SPTs
- Scenarios under stress: integrating scenarios into risk identification, measurement and appetite. Timeframes; handling framework inconsistencies. Turning noisy outputs into limits/pricing

