Systematic quant investment manager across equity, credit, alternatives and ESG
Acadian is a Boston-based systematic investment manager whose stack pairs a Python quant toolkit (Pandas, scikit-learn, statsmodels, Ray) with OpenAI and AWS Bedrock, pointing to AI moving into signal research. Projects center on an AI platform for signal computation and AI-enabled stewardship tools, while hiring skews engineering- and data-heavy at senior levels across the US, UK and Australia, and is accelerating.
Acadian Asset Management is a systematic investment manager founded in 1986 and headquartered in Boston, with affiliates in London, Singapore and Sydney. It runs quantitative equity and credit strategies aimed at active returns, alongside alternative strategies targeting absolute, uncorrelated outcomes. Sustainable investing is a core capability, covering client-specific solutions and engagement. The firm employs 201–500 people and is privately held. Its trading and infrastructure stack includes MarketAxess, Tradeweb, AWS, Azure, GCP and Kubernetes.
Acadian uses Python with Pandas, scikit-learn, statsmodels and Ray for quant work, OpenAI and AWS Bedrock for AI, AWS, Azure and GCP with Kubernetes and Terraform, plus Salesforce, Tableau, MarketAxess and Tradeweb.
Yes. Engineering is the largest hiring area, with data, investment and research roles too. Hiring is accelerating and skews senior, across the United States, United Kingdom and Australia.
Current initiatives include proprietary ESG analytics, AI-enabled stewardship tools, an AI modernization roadmap, an AI platform for signal computation and quant tooling for signal construction.
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Acadian Asset Management's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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