The profession runs on spreadsheets, legacy modelling platforms, and manual processes that would be unrecognisable in any other quantitative discipline. QARC is building a practice around changing that.
Most actuarial departments in life insurance and reinsurance are operating with a technology stack that has not fundamentally changed in twenty years. Modelling platforms generate outputs that flow into spreadsheets. Spreadsheets produce reports that are emailed as PDFs. The cycle repeats, manually, every quarter.
This is not a skills problem. Actuaries are among the most analytically capable professionals in financial services. It is a structural inertia problem — the profession has not yet encountered the disruption that has modernised adjacent disciplines in data science, quantitative finance, and risk management.
The pressure is building. IFRS 17 implementations have exposed the fragility of tactical Excel solutions. Capital model validation is increasingly scrutinised. And a generation of actuaries trained in Python, cloud infrastructure, and modern data engineering is arriving in the workforce expecting better tools.
QARC exists at this inflection point.
"The actuarial profession is extraordinarily capable of building sophisticated models — and extraordinarily resistant to modernising how those models are built, run, and governed."QARC Technology Practice Perspective
Critical actuarial calculations — reserves, capital, experience analysis — embedded in unversioned, untested Excel workbooks with no audit trail.
Month-end and quarter-end processes that consume weeks of senior actuarial time on data preparation and report assembly rather than insight.
Legacy actuarial modelling software — often decades old — that does not integrate with modern data infrastructure, version control, or cloud environments.
Actuarial code — basis tables, model point files, calculation libraries — managed through file naming conventions rather than proper version control systems.
Actuarial data preparation processes that break on any upstream change, with no automated testing, monitoring, or reconciliation framework.
Regulatory expectations around model risk management — documentation, validation, change control — that outpace the informal practices most actuarial teams operate with.
Prophet by FIS has been the dominant life insurance modelling platform across Sub-Saharan Africa and the UK for two decades. QARC's principal brings rare depth of hands-on Prophet expertise — from model architecture and coding through to training, production support, and strategic platform advisory.
This experience also gives us an unusually clear view of where Prophet clients are underserved — and what the emerging generation of modelling platforms offers that Prophet does not.
QARC's technology advisory extends beyond actuarial modelling software. We help teams identify and adopt the broader toolkit that modern analytical practice demands — from data engineering through to visualisation, cloud infrastructure, and emerging AI applications.
Most actuarial teams sit somewhere between stages one and two. QARC helps navigate the path forward — pragmatically, without disrupting existing production processes.
All key processes live in spreadsheets. Limited version control. High key-person dependency.
Dedicated actuarial modelling software in use but outputs still fed into manual Excel processes.
Automated data flows, version-controlled code, dynamic reporting. Manual steps are exceptions.
Cloud infrastructure, AI-augmented analysis, real-time dashboards. Audit trail throughout.
Our technology services span the full lifecycle — from independent platform selection through to implementation, training, and ongoing support.
An independent assessment of which actuarial modelling platform best fits your organisation's product mix, team capability, budget, and strategic direction. No vendor affiliation means no conflict of interest.
End-to-end support for model migrations — from proof of concept and parallel validation through to production cutover and post-go-live stabilisation. Particular expertise in Prophet-origin conversions.
Structured training programmes for actuarial modelling platforms and surrounding technology. Delivered as formal curricula, bespoke workshops, or embedded coaching alongside your team.
Designing and building automated, tested actuarial data pipelines that replace fragile Excel-based data preparation — reducing manual effort, improving governance, and enabling faster close cycles.
Replacing static PDF reporting packs with dynamic, interactive dashboards in Power BI, Streamlit, or Plotly — giving management real-time visibility into actuarial outputs and experience.
A structured review of your current actuarial technology landscape — identifying duplication, gaps, and modernisation priorities — with a pragmatic roadmap aligned to your regulatory and commercial timeline.
Software vendors are excellent at explaining why their platform is the right choice. What they cannot offer is a clear-eyed view of when it is not — or how it compares to alternatives across your specific circumstances.
QARC operates without commercial relationships that create pressure to recommend any particular product. Our only interest is in matching the right technology to your organisation's actual needs.
Whether you are evaluating a platform migration, trying to reduce manual reporting effort, or simply want an independent view on your actuarial technology landscape — we would be glad to talk.