Manager, Market and Liquidity Risk

Commonwealth Bank; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

Commonwealth Bank in Sydney seeks a skilled risk modeller to support finance risk analytics, capital oversight, and model governance across market and liquidity risk. You will translate complex modelling into actionable insights for senior leaders and collaborate with risk, product, finance, tech and data teams to strengthen controls and reporting.

Strong background in quantitative finance or related fields, plus experience with Python/SQL/R/SAS is highly valued.

Qualifications

• Financial risk modelling and analytics experience.
• Experience in stress testing and scenario analysis.
• Ability to communicate modelling concepts to senior stakeholders.

Responsibilities

• Develop and govern financial risk models across market and liquidity risk.
• Improve measurement of market and liquidity risk exposures and margins.
• Prepare governance papers and risk commentary for forums.

Skills

Financial risk modelling

Stress testing

Scenario analysis

Exposur e modelling

Liquidity risk measurement

Reporting to senior stakeholders

Programming languages

Python

SQL

R

SAS

Quantitative finance

Education

Quantitative finance / statistics / mathematics / economics or related

Postgraduate studies (advantage)

Tools

Python

SQL

R

SAS

Job description

See yourself in our team

As part of the CommSec Line 2 Financial Risk team, you will support financial risk modelling, capital, analytics and oversight across the market and liquidity risk profile. You will help strengthen risk measurement frameworks, stress testing, scenario analysis, risk appetite monitoring and model governance. Working closely with colleagues across Risk, Product, Finance, Technology, Data and the business, you will turn complex analysis into practical insights that support well-informed decisions.

The role offers broad exposure across market risk, liquidity risk, collateral adequacy, concentration risk, margin-related exposures and financial risk reporting.

On any given day you will

• Contribute to the development and governance of financial risk models across market risk, liquidity risk, collateral coverage, stress testing and concentration risk.

• Enhance how CommSec measures exposure to market movements, liquidity demands, client concentrations, collateral adequacy and margin requirements.

• Monitor key risk indicators, risk appetite metrics, early-warning indicators and limits, identifying emerging themes and opportunities for improvement.

• Undertake stress testing and scenario analysis across portfolio, client, security and book-level exposures for CommSec products.

• Review and validate model assumptions, data quality, methodology choices and reporting outputs.

• Translate complex modelling outcomes into clear insights and practical recommendations for senior stakeholders and governance forums.

• Partner with Technology and Data teams to improve automation, controls, data lineage and reporting infrastructure.

• Maintain clear documentation and support policy development so models and reporting processes remain controlled and aligned with model risk governance expectations.

• Build trusted relationships with business stakeholders, Model Risk, Internal Audit and governance forums to discuss methodologies, findings, limitations and remediation actions.

Your skills and experience

• Financial risk, quantitative analysis, treasury, market risk, liquidity risk, or financial risk modelling.

• Stress testing, scenario analysis, exposure modelling, collateral risk, concentration risk or liquidity-risk measurement.

• Financial markets products, which may include equities and equity derivatives.

• Preparing clear senior-level reporting, methodology papers, risk commentary or governance materials.

• Building relationships across diverse stakeholder groups and communicating technical concepts to senior leaders or risk committees.

• Analytical programming languages such as Python, SQL, R, SAS or similar. This capability is desirable rather than essential.

• Relevant tertiary or postgraduate study in quantitative finance, statistics, mathematics, actuarial studies, economics, finance, engineering or a related discipline. Equivalent practical experience is also welcomed.

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