Portfolio Optimization Expert
7 days ago
About Us
Hostplus Pty Limited is a leading Australian superannuation fund, dedicated to helping our over 1.7 million members achieve a brighter financial future. We are passionate about fostering an inclusive and diverse workplace culture.
Job Summary
We are seeking a highly skilled Portfolio Optimization Expert to join our Investments team. In this role, you will be responsible for supporting the optimization of long-term net investment returns through strategic portfolio construction and risk management.
Your key responsibilities will include:
- Developing and implementing sophisticated portfolio optimization strategies to maximize returns while minimizing risk.
- Collaborating with cross-functional teams to design and implement effective risk management frameworks.
- Analyzing complex data sets to identify trends and insights that inform investment decisions.
- Communicating findings and recommendations to senior stakeholders through clear and compelling presentations and reports.
Requirements
- Bachelor's degree in any numerate and analytical discipline (such as Mathematics, Statistics, Finance, Actuary, Economics, Physics, Computer Science, Data Science, etc.)
- Strong analytical skills with attention to detail and accuracy
- Strong critical thinking, deep intellectual curiosity, and robust problem-solving abilities
- Excellent written and presentation abilities, with the capacity to communicate effectively across all organizational levels
- Proficiency in a coding language (such as R/Matlab/Julia/Python/VBA/SQL/Power BI)
- Experience with risk systems (such as Aladdin, FactSet, StatPro, Macrobond, Bloomberg, Refinitiv, and equivalents)
- An interest or knowledge of financial markets
- An interest or background in asset management across a broad range of asset classes
- Knowledge and/or experience in the Superannuation environment
- Knowledge of advanced mathematical and statistical techniques such as (non-)linear regression, ARIMA, VaR, Monte-Carlo/stochastic simulations, and Bayesian statistics
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