QRM (Quantitative Risk Management) Specialist
Contract Type
Permanent
Location
New South Wales, Sydney
Industry
IT
Specialisation
Business Intelligence & Data
Salary
AU$1000 - AU$1200 per day
Contact Name
Chris Louch
Contact Email
chris@talenza.com.au
Date published
10-02-2025
Job Reference
BBBH17509
Description
QRM Functional Specialist
Sydney
12 Months
$1,200pd + Super
Position Overview
We are seeking an experienced QRM (Quantitative Risk Management) Functional Specialist to join our newly formed QRM Practice team within Group Treasury.
Key Responsibilities
- Lead the functional design and implementation of QRM solutions for financial risk management within Treasury, working closely with stakeholders to understand and document business requirements.
- Configure, own, and maintain QRM modules, including Asset Liability Management (ALM), Funds Transfer Pricing (FTP), and Market Risk calculations.
- Develop and maintain detailed functional specifications for QRM customisations and integrations.
- Provide expertise in banking risk concepts, including interest rate risk, liquidity risk, and market risk modelling.
- Conduct user training sessions and create documentation for QRM functionality and processes.
- Troubleshoot complex issues related to risk calculations, data integration, and system performance.
- Support user acceptance testing and validation of risk metrics.
- Stay current with regulatory requirements and banking risk management best practices.
Required Qualifications & Experience
- Bachelor's degree in Finance, Economics, Mathematics, or a related field.
- 5+ years of experience in banking risk management, with at least 3 years working directly with QRM applications.
- Strong understanding of banking balance sheet concepts, ALM principles, and risk management frameworks.
- Expertise in financial instruments and their behaviour under various interest rate scenarios.
- Experience in interpreting regulatory requirements (Basel III, APS117, APS210, Stress Testing, etc.) and implementing them within risk systems.
Technical Knowledge
- Deep understanding of QRM modules: ALM, FTP, Market Risk (IRRBB, Liquidity).
- Familiarity with banking data structures and financial databases.
- Knowledge of interest rate modelling and behavioural assumptions.
- Experience with risk reporting and analysis tools.
- Understanding of ETL processes and data quality controls.
- Confident in working with and validating large datasets / results.
- Experience with Power BI, QlikSense preferred or willingness to learn.
If you feel you possess the relevant skills to the above, apply now with most updated CV!