Traditional actuarial training left stochastic mortality on the margins. Our team built the bridge practitioners actually walk across.

What we believe about risk education

Our values are not decorative. They shape what we teach, how we teach it, and the kind of practitioner we hope walks away from every session.

01

Clarity is a professional obligation

Obscure models create hidden risk. We teach practitioners to expose assumptions, trace uncertainty through every layer of a projection, and communicate results so decision-makers can act. A model nobody understands is a liability dressed as an asset.

We teach practitioners to expose assumptions, trace uncertainty, and communicate so decision-makers can act.
02

Intellectual honesty above elegance

A beautiful model that hides its weaknesses is worse than a clumsy one that admits them. We reward transparency over polish, and we teach our community to spot the difference.

03

Practical relevance first

Theory matters only when it changes what a practitioner does on Monday morning. Every concept we introduce must connect to a real capital allocation, reserving, or pricing decision.

04

Continuous recalibration

Mortality assumptions age quickly. We build updating into our frameworks from the start, so practitioners know when a model has drifted from reality and how to fix it.

05

Collective advancement

No one team has all the answers. We share methodologies openly, invite challenge, and treat peer review as a feature of good practice, not a threat to it.

The people behind the models

Dr. Eileen Moran

Dr. Eileen Moran

Founding Director and Lead Mortality Researcher

Eileen spent fifteen years inside life insurance reserving teams before moving into academic research on stochastic longevity. She founded this platform because the gap between what practitioners needed and what textbooks offered had become too wide to ignore. Her work focuses on translating Lee-Carter variants and CBD models into decision-ready formats for capital adequacy testing.

Core analytical capabilities

Stochastic mortality projection Longevity risk capital modeling Regulatory framework interpretation Bayesian model averaging
Marcus O'Brien

Marcus O'Brien

Senior Quantitative Risk Advisor

Marcus advises pension schemes and annuity providers on how to stress-test their longevity assumptions against tail scenarios. He joined the team after a decade building internal models for a major European insurer. His sessions are known for relentless questioning of model comfort zones.

Risk assessment focus

Tail risk quantification Scenario design for longevity stress testing Model validation protocols Stakeholder communication
Dr. Priya Nair

Dr. Priya Nair

Statistical Methods Lead

Priya designs the statistical backbone of our curriculum, ensuring that every method we teach can be reproduced, audited, and defended. Her background spans biostatistics and financial econometrics, which gives her a rare ability to spot where health data assumptions leak into financial models.

Statistical architecture

Mortality data curation and cleaning Time-series model selection Cross-population forecasting Reproducible research workflows
Liam Hennessy

Liam Hennessy

Regulatory and Standards Liaison

Liam tracks how Solvency II, IFRS 17, and national guidance treat longevity risk. He translates regulatory language into practical model requirements so practitioners stay compliant without drowning in paperwork. His briefings are required reading for our advisory board.

Compliance and guidance

Solvency II longevity requirements IFRS 17 measurement assumptions National regulatory interpretation Model documentation standards
Dr. Aoife Brennan

Dr. Aoife Brennan

Applied Research Fellow

Aoife runs our ongoing research partnerships with university departments and industry working groups. She tests new methodologies against historical data before they enter the curriculum, and she documents where models break so we can teach failure modes honestly.

Research validation

Backtesting mortality forecasts Academic partnership management Model failure documentation Emerging methodology review
Category
Award
Organization
Year
Category: Excellence in Actuarial Education
Award: Recognized for advancing stochastic mortality curriculum across European markets
Organization:
Year: 2022
Category: Research Publication Honor
Award: Distinguished contribution to longevity risk modeling literature and peer review
Organization:
Year: 2020
Category: Industry Training Standard
Award: Acknowledged for setting benchmark in practitioner-focused mortality risk workshops
Organization:
Year: 2019
Category: Innovation in Risk Education
Award: Awarded for bridging academic research and practical capital modeling applications
Organization:
Year: 2017

From informal workshops to a recognized voice in mortality risk education.

First workshop

Eileen Moran gathered twelve actuaries in a Dublin hotel conference room to test whether stochastic mortality concepts could be taught in a single day. The feedback was blunt: the material was needed, but the delivery had to change. That honest criticism shaped everything that followed.

Curriculum launch

After two years of pilot sessions and rewritten modules, we released our first structured program. It covered Lee-Carter fundamentals, CBD extensions, and basic capital adequacy linkage. Enrollment came slowly, then steadily, entirely through word of mouth.

Research partnerships

We formalized collaborations with three university departments to test new methodologies against historical data before classroom introduction. This backtesting layer became a signature of our approach: nothing enters the curriculum until it has survived real data scrutiny.

Platform expansion

We broadened our offerings to include deeper regulatory integration, cross-border case studies, and advanced tail-risk modules. Our practitioner community now spans analysts, risk officers, and pension strategists across multiple jurisdictions.

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