Responsibilities
The candidate will work with the Global Quantitative Strategy research team developing new investment strategies for stock selection and allocation (styles, sectors, countries, and regions) to be published in research reports which are distributed to clients of the firm globally.
Working with Quantitative Strategist to implement current research ideas using new-age analytics.
Involved in identifying bottle necks in existing processes and providing innovative automated solutions.
Presenting complex analysis to a diverse audience of investors.

Requirements
Highly analytical, numerate, and detailed minded.
Bachelor degree or higher in Computer Science, Mathematics, Statistics, Finance, or similar analytical field.
At least three years of experience with Python and SQL, with a solid ability to build scalable, production-quality analytics, data pipelines, and research tools.
Proficiency with market data and analytics platforms,



particularly FactSet and Bloomberg; experience with RavenPack or other alternative data analytics platforms would be highly valued.
Able to actively embrace AI and emerging technologies to improve research productivity, automate workflows, and enhance investment insight generation.
Experience working with large, complex, and unconventional data sets, with solid knowledge of data structures, algorithms, and scalable data‑processing techniques.
Robust communication skills. Proven ability and willingness to work as a member of a team.
Talent for distilling complex information into clear, actionable insights.
Experience presenting to institutional clients will be highly valued.
The position will be in either Sydney or Hong Kong, depending on the suitability of the candidate.
Candidates with Mandarin skills will be an advantage
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📌 Associate / Vp Quantitative Analyst Quant Strategy Research City Of Sydney (Australia)
🏢 Bank Of America
📍 Australia