At a Glance
- Tasks: Develop and enhance pricing models, conduct investment analysis, and present findings to senior stakeholders.
- Company: Leading financial services organisation with a focus on innovation and analytics.
- Benefits: Flexible hybrid work, competitive pay, and support for professional development.
- Other info: Great opportunity for career growth in a dynamic, non-traditional environment.
- Why this job: Make a real impact on investment decisions and gain exposure to strategic initiatives.
- Qualifications: Degree in Actuarial Studies or related field, with analytical skills and experience in data analytics.
The predicted salary is between 87984 - 107536 $ per year.
An exciting opportunity has arisen for an analytically strong and commercially minded professional to join a leading financial services organisation in a role combining pricing, forecasting and investment analytics.
This position offers the opportunity to apply advanced analytical techniques to significant investment decisions, working closely with senior stakeholders to evaluate opportunities, forecast financial performance and optimise portfolio outcomes.
The role would particularly suit someone with an actuarial background looking to broaden their experience beyond traditional insurance into commercial analytics and investment decision-making.
The Opportunity
As an Analytics Specialist, you will
- Develop, maintain and enhance sophisticated pricing and forecasting models.
- Conduct detailed analysis and due diligence on investment opportunities.
- Prepare financial forecasts and assess portfolio performance.
- Analyse trends, risks and opportunities to support investment and capital allocation decisions.
- Work closely with Finance, Operations and Analytics teams to improve forecasting accuracy.
- Present analytical findings and commercial recommendations to senior stakeholders.
- Contribute to strategic planning, budgeting and ongoing improvements to modelling frameworks.
About You
We're interested in speaking with professionals who have
- A degree in Actuarial Studies or a related quantitative discipline, with progress towards actuarial qualifications highly regarded.
- Experience in actuarial, pricing, forecasting, data analytics or quantitative modelling roles.
- Strong analytical and problem-solving capabilities, combined with commercial awareness.
- Proficiency in analytical tools such as SQL, SAS, Python or R.
- Experience working with large datasets and developing financial or predictive models.
- Strong communication skills with the ability to translate complex analysis into actionable business recommendations.
- Experience within general insurance, life insurance, banking, financial services or consulting will be highly regarded.
Why Consider This Opportunity?
- Apply your actuarial and analytical expertise in a commercially focused, non-traditional environment.
- Influence significant investment and capital allocation decisions.
- Gain exposure to senior stakeholders and strategic business initiatives.
- Develop expertise in pricing, financial forecasting and portfolio analytics.
- Benefit from flexible hybrid working arrangements.
- Access professional development opportunities, including support towards actuarial qualifications.
- Competitive remuneration with performance-based incentives.
If you're an actuary or analytics professional looking to broaden your commercial exposure and make a tangible impact on business decisions, we'd love to hear from you.
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Actuarial Specialist – Financial Services in Sydney employer: SKL Actuarial
Join one of the world’s largest fund managers in a dynamic and collaborative environment located in the heart of Sydney. As a Quantitative Associate, you will benefit from a strong focus on employee development, with opportunities for growth through mentorship and advanced training in quantitative finance. The company fosters a culture of innovation and teamwork, ensuring that your contributions are valued while you work alongside industry leaders in a vibrant city known for its rich lifestyle and professional opportunities.
