ESG Quant Analyst: Stewardship & AI Analytics

Acadian Asset Management, LLC; Sydney; Hybrid; AUD 120,000 - 160,000; Full time

Job summary

Acadian Asset Management, LLC seeks an ESG Quant Analyst - Stewardship Specialist to join the Responsible Investing team in Sydney. The role blends engagement activities with scalable ESG research in a quantitative environment, applying AI techniques to develop analytics and datasets.

Hybrid work is supported with on-site presence in the Sydney office 3 days a week. The ideal candidate has 1–2 years buy-side/sell-side experience and strong Python/SQL programming skills for data-driven insights.

Qualifications

• Bachelor's degree with 1–2 years of experience on the buy-side or sell-side.
• Programming experience (Python and SQL) with ability to extract insights from large datasets.
• Experience with generative AI tools including OpenAI and Claude.

Responsibilities

• Coordinate and lead engagement activities with investee companies across assigned regions, incorporate client-specific stewardship priorities, monitor controversies, and speak directly to companies.
• Capture company intelligence through engagements, support quantitative ESG assessments of portfolio holdings, maintain engagement records and databases, and produce high-quality case studies, quarterly updates, and stewardship reporting for both internal and external audiences.
• Share engagement insights regularly with portfolio managers, researchers and sustainability specialists to support the development of proprietary signals, analytics, and spur new ESG research ideas.
• Leverage Python and AI tools to acquire, clean, transform, and analyse large structured and unstructured datasets and contribute to the development of AI-enabled stewardship tools.

Skills

Python

SQL

Data analysis

Communication

AI tools

Team collaboration

Education

Bachelor's degree

Tools

OpenAI

Claude

Job description

Acadian Asset Management, LLC seeks an ESG Quant Analyst - Stewardship Specialist to join the Responsible Investing team in Sydney. The role blends engagement activities with scalable ESG research in a quantitative environment, applying AI techniques to develop analytics and datasets.

Hybrid work is supported with on-site presence in the Sydney office 3 days a week. The ideal candidate has 1–2 years buy-side/sell-side experience and strong Python/SQL programming skills for data-driven insights.