ESG Quant Analyst - Stewardship Specialist

Acadian Asset Management; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work environment

Competitive benefits

On-site London office

Job summary

Acadian Asset Management in London is seeking an ESG Quant Analyst - Stewardship Specialist to join the Responsible Investing team in London.

The role blends direct company engagements with scalable research tools and datasets, applying AI techniques in a quantitative setting. The successful candidate will drive ESG research and partnerships with portfolio managers and researchers in a hybrid work environment.

Qualifications

• Bachelor's degree with 1-2 years of experience on the buy-side or sell-side.
• Demonstrated aptitude for programming (Python and SQL), conducting exploratory data analysis, and extracting insights from large datasets.
• Experience with generative AI tools including OpenAI and Claude code.
• Excellent written and verbal communication skills, with the ability to translate complex analytical concepts into clear, actionable insights for both technical and non-technical audiences.
• Highly organized and detail-oriented, with the ability to manage multiple projects simultaneously and collaborate effectively across global teams and time zones.
• A demonstrated commitment to continuous learning, including a willingness to pursue relevant professional qualifications such as the CFA Sustainable Investing Certificate.

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

Engagement leadership

Data analysis

Generative AI

Education

Bachelor's degree

Tools

OpenAI

Claude

Job description

Acadian Asset Management is a global, systematic investment manager at the forefront of data-driven investing since 1986. Headquartered in Boston, with locations in Singapore, London, and Sydney, we manage over $232 billion on behalf of leading institutions worldwide including pension funds, endowments, foundations, and sovereign wealth funds. We harness advanced technology, rich datasets, and multidisciplinary expertise to help clients navigate complex markets and uncover insights that may be overlooked by traditional approaches.

What sets Acadian apart is our people. We foster a collaborative, intellectually curious environment where ideas are tested, diverse perspectives are welcomed, and innovation thrives. We're united by a shared purpose: delivering effective client outcomes and supporting one another in work that’s both challenging and rewarding. We offer a flexible hybrid work environment, strong benefits, and a casual but focused office culture all designed to support the meaningful, collaborative work that defines Acadian.

Position Overview

We are seeking an ESG Quant Analyst - Stewardship Specialist to join the Responsible Investing team in London. Unlike a traditional stewardship role, this position sits within a quantitative investment environment and will help drive Acadian's ESG research by combining direct company engagements with the development of scalable research tools and datasets. The ideal candidate will be intellectually curious, highly analytical, and equally enjoy working with large datasets as engaging with company management teams. They will thrive in an entrepreneurial environment and be excited by the opportunity to apply AI techniques.

Acadian supports a hybrid work environment; employees are on-site in the London office 3 days a week.

What You'll Do

• 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.

We're Looking For Teammates With

• Bachelor's degree with 1-2 years of experience on the buy-side or sell-side.
• Demonstrated aptitude for programming (Python and SQL), conducting exploratory data analysis, and extracting insights from large datasets.
• Experience with generative AI tools including OpenAI and Claude code.
• Excellent written and verbal communication skills, with the ability to translate complex analytical concepts into clear, actionable insights for both technical and non-technical audiences.
• Highly organized and detail-oriented, with the ability to manage multiple projects simultaneously and collaborate effectively across global teams and time zones.
• A demonstrated commitment to continuous learning, including a willingness to pursue relevant professional qualifications such as the CFA Sustainable Investing Certificate.

Acadian Asset Management LLC is committed to providing equal employment opportunity to all employees and applicants. No employee or applicant shall be discriminated against on the basis of gender, race, creed, color, sex, age, national origin, marital status, pregnancy or parenthood, veteran status, citizenship status, disability, gender identity, or sexual orientation.