BAU Support
SLA-backed senior capacity for valuation, reporting and data operations. For cycles that have to land.
See BAU SupportActuarial, finance and data solutions
Supporting actuarial and finance journeys with care.
Data Symphony brings actuarial specialists, banking practitioners, data engineers, BI specialists and software engineers together to help financial-services teams make important work clearer, stronger and easier to run.
We are an actuarial and data consultancy based in South Africa. We serve at the highest standard, rigorous about quality and secure in our methods — and we aim to add real value with every piece of work we touch.
- Small teams Highly efficient, senior-led teams, formed around each client project
- Since 2013 Building actuarial and data products
- Global Serving clients worldwide, from a South African base
- B-BBEE Level 1 A South African consultancy with transformation credibility
Sectors we serve
- Life insurers
- Cell captives
- General insurers
- Reinsurers
- Banks
- Private-wealth providers
The modernisation opportunity
Modernise the operating layer around models, data and reporting.
Core systems are only part of the opportunity. We help insurers, investment managers and banks turn the spreadsheet, assumption, pipeline and reporting work around those systems into governed workflows that senior teams can run, audit and improve.
Done well, that operating layer protects people as well as numbers: fewer heroic workarounds, clearer ownership, earlier escalation and a handover path that keeps client teams in control.
Transformation matrix
From operating layer to governed client outcome.
Modernisation is more than a before-and-after state. It is a set of specific work paths: current workflow, scoped intervention, governed layer and measurable outcome.
Spreadsheet hand-offs1/4
Workflows
The first path is the recurring workflow itself: spreadsheet hand-offs become mapped, versioned workflows so the close or reporting cycle has clearer controls.
- Current: spreadsheet hand-offs
- Our work: workflow mapping
- Governed: versioned workflows
- Outcome: clearer controls
Before we build
Diagnose. Design. Sustain.
Modernisation has a strong chance of succeeding when the thinking is connected before the tool is picked. These are the lenses we run with you — workflow, evidence, ownership, platforms, automation, AI, migration path and talent — in whatever sequence the work requires.
On AI: we use it to accelerate delivery, in a robust, secure and maintainable manner — named human reviewers, written sign-off, full audit trail, grounded in your governed data. How we use AI →
One connected loop
Diagnose, design and sustain as one loop.
Modernisation has a strong chance of succeeding when diagnosis, build decisions and operating ownership stay connected. The strongest work turns evidence into a design, and the run model feeds new evidence back into the next decision.
Build gate
Only build once evidence, design choices and run ownership agree.
Find the strongest path1/3
Diagnose
Map workflow evidence, ownership, platform constraints and decision context before choosing a tool.
- Workflow evidence
- Ownership clarity
- Decision context
Continuity
We don't just build. We run.
Modernisation is one engagement type. Much of our work is recurring: the close that must land, the senior cover when teams need capacity, and the review pack that must be trusted. The same people who build it run it.
The stickiest thing is not any single model or pipeline. It is the accumulated context and trust that lets the same team keep the work reliable and defensible through changing conditions, new requirements and unexpected events.
Modelling and Validation
Independent review of models, outputs, methodology and AI-assisted workflows. For documentation that has to hold up.
See validation workPractices
Nine practices. One operating layer.
Each practice is senior-led and built around the same pattern: diagnose the work, modernise the operating layer, and support the run.
Finance Modernisation
Actuarial and finance workflows rebuilt together — valuation, assumptions, close cycles, movement analysis and disclosure. IFRS 17, SAM, EV and experience studies included.
Modernise finance closeData Engineering
Pipelines, lakehouses and warehouses designed around actuarial, banking and risk use cases — not generic data plumbing.
Build governed pipelinesBanking
Credit decisioning, pricing, treasury and finance integration rebuilt as governed, instrumented data products — bank-specific decision systems, not back-office plumbing.
Improve banking workflowsRisk Management
Capital, credit, market, liquidity, emerging and model risk re-engineered as governed, reproducible pipelines — across insurers and banks.
Strengthen risk workInvestments
Asset-liability modelling, portfolio analytics, private-market mechanics and South African life tax fund structures, re-engineered as governed pipelines.
Explore investmentsTreasury
Treasury operating models, policies, internal audit and the data plumbing behind cash, funding and FX — for corporate treasurers and treasury functions inside insurers and banks.
Explore treasuryBusiness Intelligence
Reporting, dashboards and management information rebuilt as governed BI data products — one number, one definition, traceable to source.
Clarify reportingModelling and Validation
Independent validation of actuarial models, cashflow outputs, methodologies and AI-assisted workflows — including expert-witness and audit-adjacent reviews.
Request independent reviewBAU Support
Recurring delivery capacity for valuation, reporting and data operations under SLA — software-supported, senior-led, predictably priced.
Stabilise recurring deliverySoftware
Where consulting ends, software takes over.
Our five accelerator components come from recurring engagement patterns: projection, assumptions, data, reporting and automation. They share one architecture and deploy in your cloud or on-premise environment.
Symphony Automate
AI agent powered workflow for recurring actuarial and data processes.
ExploreSymphony Modelling Platform
Configurable actuarial cashflow projection.
ExploreSymphony Assumptions
Versioned, auditable assumptions across products and reporting bases.
ExploreSymphony Data
High-performance cube and BI capability for actuarial and finance data.
ExploreSymphony Reporting
Automated reporting packs with full lineage from source to disclosure.
ExploreWhy Data Symphony
Actuaries, engineers and other professionals. One firm.
Actuarial depth
Qualified actuaries with life, general, health, investments and reinsurance experience. Named actuaries with statutory sign-off — the seniors clients hire to lead the work, and the seniors a new joiner sits next to from day one.
Production-grade engineering
Data and software engineering practices borrowed from modern technology firms — architecture from day one, version control, CI/CD, infrastructure as code, observability and lineage. The way real engineering happens, applied to actuarial work.
Domain-aware tooling
Modular software that knows what an actuarial model is, what an assumption is, and what a reporting pack needs. Real product that ships into client engagements — not a generic data platform, not slideware.
Insights
Reading from the field.
IFRS 17 analytics after implementation: comparability, automation and decision-useful reporting
IFRS 17 implementation is finished. IFRS 17 analytics has barely started. The insurers that treat phase two as a software upgrade rather than a reporting refresh will discover, slowly and expensively, that the standard's value is in the explanation — not the journal entry.
Machine-learning reserving and individual-claim modelling: the next reserving frontier
Triangle methods aren't broken. They're just leaving information on the table. The reserving frontier is not about replacing chain-ladder — it is about getting at the claim-level signal aggregate cells throw away, without losing the audit trail.
Back to the beginning: why the next decade will make actuaries more actuarial, not less
A quiet renaissance is underway in the actuarial profession, and most of us are too busy reconciling cashflows to notice. The work that has crowded out actuarial thinking for three decades is exactly what AI is best positioned to take over.
Have a modernisation opportunity we should look at?
Most engagements start with a focused conversation, then a short scoped diagnostic, so useful work can start quickly and deliberately.