Step 1
Discovery
Clarify the decision, workflow, stakeholders, constraints, and the output that would be useful.
About
Serious quantitative support for practical decisions.
Hurst Analytics is based in Brisbane, Australia. The firm provides research-led quantitative consulting across forecasting, statistical modelling, reporting automation, and custom analytics systems.
Founder
Robert Hurst
Academic background in quantitative finance and financial econometrics, with industry experience building model pipelines, automated reporting workflows, and Python-based analytical systems.
Hurst Analytics builds clear models, reliable forecasts, automated reporting workflows, and analytical tools that support real business decisions.
Based in Brisbane, Hurst Analytics works with Australian and international clients.
The work is grounded in defensible methods, clear communication of uncertainty, and outputs that connect technical analysis to planning, reporting, and operating decisions.
Engagements are delivered through concise analysis, documented modelling workflows, Python automation, dashboards, reporting systems, and quantitative advisory support.
Working principles
Quantitative work should be explainable, repeatable, and useful.
The aim is not to make analysis look complex. It is to create methods and systems that withstand scrutiny and support decisions.
Defensible methods
Practical outputs
Clear assumptions
Repeatable systems
Commercial context
Useful uncertainty
Working style
A measured engagement process.
Engagements are scoped around the business problem, available data, required output, and how the result will be maintained or reviewed.
Step 2
Data review
Inspect available data, known gaps, definitions, update cadence, and quality risks before modelling.
Step 3
Modelling / build
Develop the model, automation, dashboard, or reporting workflow using methods matched to the problem.
Step 4
Validation
Compare outputs against benchmarks, test assumptions, review errors, and document practical limitations.
Step 5
Deployment / reporting
Package results into repeatable reports, dashboards, code, or cloud-hosted tools for regular use.
Step 6
Ongoing support
Maintain, improve, and review the analytical system as data, requirements, and decisions change.
Discuss a Project
Share the analytical decision, reporting burden, or forecasting requirement you want to improve.