Asset Allocation Analyst
Employment Info
JOB DETAILS
Requirements
- The role requires a strong academic track-record in quantitative disciplines such as Mathematics, Statistics, Physics, Engineering, Computer Science, Actuarial Studies, Finance or Economics.
- Strong analytical skills and the ability to perform in-depth financial analysis.
- Proven ability to dissect complex data, interpret multifaceted concepts, and make informed, data-driven decisions.
- A collaborative, team-first mindset and the ability to thrive in a fast-paced and deadline-driven environment.
- Strong proficiency in Python for quantitative analysis and advanced Excel modelling skills.
- A solid understanding of asset classes, portfolio theory, optimisation techniques and risk/return analysis.
- Familiarity with modern artificial intelligence tools and technologies, with the ability to apply them responsibly to improve analytical outcomes and productivity.
- Familiarity with life insurance or annuity balance sheets, capital frameworks and liability-driven investing is well regarded (desirable).
Responsibilities
- Cross-functional collaboration across Challenger Life, engaging diverse teams while contributing to asset allocation strategy development and implementation.
- Build deep expertise across fixed income, equity and liquid strategies, with hands-on experience in quantitative modelling, scenario analysis and portfolio construction.
- Support the development and review of strategic and tactical asset allocation analysis, including portfolio construction, optimisation and scenario analysis.
- Assist with maintaining capital market assumptions, including expected returns, volatilities and correlations across asset classes.
- Help assess how potential allocation changes may affect portfolio risk, capital usage and expected returns.
- Assist with preparing papers and presentations for investment committees and senior investment stakeholders.
- Work with portfolio managers, risk and finance teams to build an understanding of how asset allocation decisions are developed and implemented.
- Continue to develop knowledge of asset classes, portfoliotheory and Challenger Life’s balance sheet.
- Assist with developing and improving models and tools that support asset allocation analysis, including simulation and optimisation work.
- Help maintain analytical tools, code libraries and data processes using Python and Excel.
- Follow good practices for version control, documentation and reproducibility when working with models, code and analytical outputs.
- Assist with monitoring portfolio positioning against targets, ranges and risk limits, and help identify potential rebalancing requirements.
- Support the preparation of regular reporting on asset allocation, performance and portfolio exposures for senior management and committees.
Desired Qualifications
- Familiarity with life insurance or annuity balance sheets, capital frameworks and liability-driven investing is well regarded (desirable).
- Familiarity with modern artificial intelligence tools and technologies, with the ability to apply them responsibly to improve analytical outcomes and productivity (desirable).
Are you interested in this position?
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