Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
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For nearly four decades, State Street Global Advisors has been committed to helping our clients, and those who rely on them, achieve financial security. We partner with many of the world's largest, most sophisticated investors and financial intermediaries to help them reach their goals through a rigorous, research-driven investment process spanning both indexing and active disciplines. With trillions in assets, our scale and global reach offer clients unrivaled access to markets, geographies and asset classes, and allow us to deliver thoughtful insights and innovative solutions.
State Street Global Advisors is the investment management arm of State Street Corporation.
State Street is an Equal Opportunity Employer, and prohibits discrimination against applicants or employees on the basis of any legally protected characteristic.
The primary role of this position will be to participate in the investment Risk Management activities for our Asian sites from the Sydney office.
Working as part of a global team and reporting directly to the APAC Head of Investment Risk, the individual will oversee portfolio risk exposure in Tokyo, Hong Kong, Singapore and Sydney investment centers.
You will work to improve the delivery, automation and production of timely portfolio risk reporting in each location.
With an understanding of portfolio construction and asset allocation, you will in addition pro-actively seek to identify measure and report on risk exposures across the various portfolios.
You will regularly communicate with the portfolio managers and assist in the construction of quantitative models.
Strong communication skills
Commitment to detail
Strengths You'll Need
The position requires excellent analytical skills as well as attention to detail and strong communication skills. Academic work in one or more of the following disciplines is desired: (1) empirical finance, (2) econometrics and time-series forecasting, (3) optimization, (4) accounting and financial economics, (5) proficiency in statistical packages (e.g., Matlab).
Knowledge of investment modelling and attribution tools.
A degree in quantitative methods and/or finance.
Minimum 5 years experience within the Funds Management or related industries.