Peter Morian

• Managed and lead three Analysts, responsible for recruitment, training, mentorship, task allocation and providing ongoing performance feedback.
• Increased the scope of the AML/CTF program by 17% by modifying data pipelines and ETL optimisation, bringing in previously unmonitored international transactions.
• Introduced version control to the team by implementing GitHub as a part of the workflow

• Streamlined turnover time by 60% by developing an automated month-end Voluntary premium reporting system in R.
• Increased automatic Acceptances by 11% and reduced underwriter workload by implementing a Python program that utilizes NLP and a Recurrent Neural Network LLM to predict applicant risk profiles.
• Created an interactive R Shiny dashboard that aided management with understanding the ope

• Produced monthly valuation reports for group Superannuation partners using Excel and Prophet, to analyse and justify movements in IBNR, Profit Share, Capital Reserves and Embedded Value.
• Lead an initiative within the team to transition away from legacy Excel worksheets and into R, by creating a new RBNA Experience Investigation process as well as teaching the R language to other team members.

• Supported the Financial Crime Analytics team by creating an interactive geolocation web tool that detects fraudulent logins and falsified customer information using SAS and HTML.
• Assisted Line 2 Risk with approvals and compliance with prudential capital requirements by producing a Probability-of-Default Credit Risk model.
• Improved the quality of Westpac’s data reporting standards to be compl

• Utilized SQL and R skills to provide detailed analysis of back-test P/L’s (hypothetical and clean finance) against the 1-day VaR, for all trading portfolios, as a part of the Line 2 Market Risk team.