Systematic Global Macro Research Analyst

Company Profile

Founded in 1977, GMO is a global investment manager committed to delivering superior long-term investment performance and advice to our clients. We offer strategies and solutions where we believe we are positioned to add the greatest value for our investors. These include multi-asset class, equity, fixed income, and alternative offerings.

We manage approximately $65bn for a client base that includes many of the world's most sophisticated institutions, financial intermediaries, and private clients. Industry-wide, we are well known for our focus on valuation-based investing, willingness to take bold positions when conditions warrant, and candid and academically rigorous thought leadership. Jeremy Grantham, GMO's Co-Founder and Long-Term Investment Strategist, is renowned as an expert in identifying speculative investment bubbles and also as a leading climate investor and advocate.

GMO is privately owned and employs over 430 people worldwide. We are headquartered in Boston, with additional offices in Europe, Asia and Australia. Our company-wide culture emphasizes commitment to clients, intellectual curiosity, and open debate. We celebrate and respect our differences, while embracing and valuing what each of us brings to work, as we know that diverse teams in an inclusive, caring environment achieve higher engagement and better client results.

We are actively looking for energetic, thought-generating, and creative people with a passion for investing who enjoy working through difficult problems. Candidates should have strong coding skills, possibly with an IT background.

Overview:

GMO is an independent partnership with a relatively flat organizational structure. Along with this structure comes an expectation that candidates will be very self-sufficient in their approach to work. We will partner with the selected candidate through a transition period with closer supervision, but the longer-term expectation will be for you to work independently with only general direction provided. The expectation will be for the selected candidate to generate and follow up on their own ideas.

You will be part of the Systematic Global Macro hedge fund team based in the Sydney office which is responsible for developing research and managing portfolios across a variety of asset classes. Your day-to-day responsibilities will be to provide support for the investment team, including overseeing systems and processes that are integral to our investment approach. You will also work with multiple members of the team on solving quantitative investment problems.

The nature of our firm and our approach to research may not work for everyone, so please spend some time thinking about these factors before expressing an interest in joining us.

Requirements:

Successful people at GMO tend to have backgrounds in economics, math, engineering, physics or computer science, but, above all, a deep interest in solving complex problems. A strong desire for excellence and an active desire to learn are required. You do not need to have any formal education in finance; however, a proven passion/interest for the subject and knowledge of the basics must be demonstrated.

An ideal candidate will have a PhD qualification and 3 to 5 years market experience, though we will also consider candidates with masters or bachelors qualification who have relevant experience. We prefer candidates already based in Australia but will consider people willing to move to Sydney.

Specific Requirements Include:

1. Knowledge of Python is important; programming experience in math-related packages such as Matlab is strongly recommended (most of our work is done in Matlab).
2. Familiarity with some or all of the following data providers is a plus: Bloomberg, Datastream, Factset.
3. The ability to communicate with database developers and other quantitative analysts across the firm.
4. Familiarity with the basics of some or all of the following will be looked upon favourably: capital markets and macroeconomics; portfolio theory and optimization; statistical and regression analysis; approaches to risk monitoring and mitigation, modelling of stock market indices, bonds, currencies, commodities and volatility trading.
5. High attention to detail in both numerical analysis and written work is essential.
6. Strong communication skills are essential.
7. Desire to spend time on the job, programming and learning, and ability to work on multiple projects at the same time are essential.

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