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!


Apply Now

File types: PDF, Microsoft Word or text