Senior Quant Analyst - Operational Risk Measurement (Sydney)

Senior Quant Analyst - Operational Risk Measurement (Sydney)

09 Aug
|
ManpowerGroup Australia
|
Sydney

09 Aug

ManpowerGroup Australia

Sydney

A leading financial services organisation is seeking a Senior Analyst - Operational Risk Measurement to join a specialist enterprise risk team on an initial 12-month contract. This is an excellent opportunity for an experienced analyst with strong quantitative and data analysis capabilities to apply their skills in a risk environment. You'll work across operational risk measurement, scenario analysis, loss event data, reporting and risk insights, helping to support critical risk management and regulatory activities.

About the Role

As a Senior Analyst, you'll play a key role in supporting the organisation's operational risk measurement framework and providing meaningful insights to senior stakeholders. You'll work with large datasets, contribute to scenario analysis and stress testing activities, and assist in the development and maintenance of risk measurement models.

Key responsibilities include:

- Analysing operational loss and risk data to identify trends, emerging risks and key insights.
- Supporting scenario analysis and stress testing activities across the business.
- Preparing insights-based reporting and presentations for senior stakeholders.
- Performing data reconciliation, validation and quality assurance activities.
- Supporting quantitative and statistical models used for operational risk measurement.
- Assisting with regulatory reporting and compliance requirements.
- Identifying and driving process improvement opportunities across risk measurement activities.

About You We're looking for an experienced analyst who can quickly get up to speed, work independently and deliver outcomes in a fast-paced environment.

You'll bring:

- 3+ years' experience in data analytics, quantitative modelling, statistics, risk analytics or a related field.
- Strong analytical and problem-solving capabilities.
- Experience working with large and complex datasets.




- Exposure to tools such as SQL, Power BI, Tableau, Alteryx, Python or R.
- Excellent communication and stakeholder engagement skills.
- Tertiary qualifications in Finance, Economics, Mathematics, Statistics, Data Analytics or a related discipline.

Highly regarded:

- Operational risk experience.
- Scenario analysis or stress testing exposure.
- Capital or risk measurement experience.
- Financial services or banking background.
- Knowledge of APRA-regulated environments.

What's in it for You?
- $950/day + Super
- Initial 12-month contract
- Sydney-based role
- Opportunity to work on enterprise-wide risk initiatives
- Exposure to senior stakeholders and strategic decision-making
- Robust potential for contract extension based on business demand and project pipeline

This role will suit a commercially minded analyst who enjoys working with data, modelling risk scenarios and translating complex information into actionable insights. Apply now for a confidential discussion.

Talent Solutions as part of ManpowerGroup is committed to being a Diversity Confident Recruiter and encourages applications from people from a diverse range of backgrounds, including people with a disability. Please indicate your preferred method of communication in your resume and please let us know if you require any reasonable adjustments should you be contacted for an interview.

Aboriginal and Torres Strait Islander people are encouraged to apply.

By submitting your resume and other personal information with this application you are consenting to this information being collected in line with our privacy policy. Follow the link to learn more - www.manpowergroup.com.au/privacy-policy

State: QLD, licensee/s Manpower Services (Australia) Pty Ltd, LHL-02026-D5L4Q. State: QLD, licensee/s Experis Pty Ltd, LHL-02014-Y5F6D. State: SA, licensee/s Manpower Services (Australia) Pty Ltd, LHS 288856

📌 Senior Quant Analyst - Operational Risk Measurement (Sydney)
🏢 ManpowerGroup Australia
📍 Sydney

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