AI and analytics training
Training built for Australian banks, insurers, superannuation funds and wealth managers. We focus on the skills your team can apply from day one.
Why uAdvance
We train financial services individuals and teams in Australia. The aim is simple. You build the technical skills and keep the domain knowledge that makes those skills useful at work.
Most analytics courses teach the tools and little else. Their worked examples aren't financial services industry specific and usually centre around retail or marketing. As a result you are left to translate everything back to your own work. We start from the work. Every example is focused on real situations in financial services.
We teach the way people learn on the job. Each session builds toward a realistic workplace task and you apply the tools and skills as they are introduced.
Because the content is specific to the industry, you may be able to claim CPD hours. Check the requirements with your relevant professional body.
Flagship program
Build the understanding and the practical skills your organisation needs to use AI responsibly in a regulated environment.
Understand what current AI can and cannot do and what that means for financial services.
Model risk management, explainability and bias testing.
Hands on work with AI tools on typical financial services use cases, from credit risk to insurance claims to client reporting.
Leave with a prioritised plan for your business unit.
What your team leaves with
Full curriculum
Every program uses financial services data and workflows your team will recognise.
Build models that hold up to an audit. Dynamic arrays, Power Query and version control that survives a handover.
Take raw data through to a dashboard people trust, with semantic models and row-level security done properly.
The methods underneath good analysis. Sampling, segmentation, forecasting and how to tell when a result holds.
Query and reshape large datasets without breaking them. Patterns built for risk, compliance and reporting teams.
Automate the work trapped in fragile spreadsheets. Pandas for the data and scripts that run the same way every time.
Regression and tree models, evaluated honestly. The focus stays on explainability and model risk.
Built for regulated industries
Our content emphasises auditability, model governance and reproducible work.
How it works for teams
A short skills survey sets the baseline so we pitch the pace and examples to your cohort.
For select programs your team can practise on its own data, covered by an NDA.
Participants leave with templates, reference guides and an action plan they can use.
Delivered at your offices across Australia.
Run as a daily intensive or spread across weeks. We fit your availability.
Who runs this
uAdvance was founded and is run by David Leber, a qualified actuary with over ten years in financial services data and analytics. David has worked as a Principal Data Scientist, building self-service analytics and data strategy.
David is the Chief Examiner of Data Science Principles at Monash University and has worked on research projects for the Australian Government.
That mix is the point of uAdvance. The technical depth of a working data scientist with the industry grounding of an actuary, so the training stays close to the work your team actually does.
Tell us your objectives and team size and we'll put together a proposal.
Request a proposal