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Advanced Modelling Analyst

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Hybrid

Advanced Modelling Analyst

Robert Half

Advanced Modelling Analyst

Skills

Data Analysis

2 months ago

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Important information


Contract type:

Permanent

Salary:

A$90,000 – A$105,000 / year

Location:

Sydney NSW, Australia

Work mode:

Hybrid

Published on:

4 September 2026

What they need


Reference Number: (60350-0013412499)

This is a hybrid position.

An opportunity has become available for a technically strong Advanced Modelling Analyst to join a highly regarded financial services organisation within its Modelling team. Reporting directly to the Head of Department, this position offers the chance to contribute to sophisticated modelling initiatives that support structured finance activities and inform key strategic decisions.

Working as part of a collaborative and high-performing team, you will play a central role in developing and enhancing advanced models that evaluate complex financial structures and portfolio behaviour. The role offers strong exposure to senior stakeholders and the opportunity to further deepen your expertise within a technically rigorous environment.

Key Responsibilities:

  • Develop, maintain and enhance advanced cash flow models supporting structured financial products
  • Contribute to modelling frameworks used in securitisation structures and complex transactions
  • Analyse detailed datasets to produce robust insights that support decision-making
  • Collaborate closely with senior stakeholders across analytics and broader business functions
  • Improve modelling accuracy, transparency and efficiency through best-practice techniques
  • Clearly document model assumptions, methodologies and outputs
  • Support continuous enhancement of modelling frameworks and analytical capability

Key Requirements:

  • Demonstrated experience building and maintaining detailed cash flow models, including the ability to model complex scenarios, sensitivities and structural features
  • Advanced Excel modelling skills, with the ability to develop robust, scalable and well-structured financial models
  • Proven experience working within financial services, with exposure to financial products, portfolio analytics or structured transactions
  • Understanding of securitisation structures or structured finance transactions is highly regarded, including exposure to underlying asset performance and deal mechanics
  • Strong analytical capability with excellent attention to detail and the ability to interpret complex datasets
  • Ability to clearly document model logic, assumptions and outputs for transparency and governance
  • Comfortable working in a technically focused environment with exposure to senior stakeholders

Why This Role Stands Out:

  • Direct reporting line to the Head of Analytics with strong exposure to strategic initiatives
  • Work across sophisticated securitisation structures and complex modelling environments
  • Opportunity to influence commercial outcomes through high-quality analytics
  • Collaborative and technically capable team culture
  • Meaningful scope to deepen expertise in structured finance and advanced modelling

This role is ideal for someone who enjoys solving complex quantitative problems and wants to play a key role in strengthening modelling capability within a respected analytics function.

If you are motivated by technically challenging work and want to contribute to impactful outcomes, this opportunity offers a strong next step in your career.

By clicking 'apply', you give your express consent that Robert Half may use your personal information to process your job application and to contact you from time to time for future employment opportunities. For further information on how Robert Half processes your personal information and how to access and correct your information, please read the Robert Half privacy notice: https://www.roberthalf.com/au/en/privacy. Please do not submit any sensitive personal data to us in your resume (such as government ID numbers, ethnicity, gender, religion, marital status or trade union membership) as we do not collect your sensitive personal data at this time.

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