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About the Role

Every day, we seek to improve financial security for people. Joining our Research team means you will be a part of a passionate and supportive team that believes what we do matters to our clients and investors. We seek a candidate with a track record of sustainable investing and deep fluency with data and quantitative methods. This role requires an individual who can combine quantitative rigor, sustainability domain expertise, and modern data/AI fluency to evolve how sustainability insights are integrated into investment research, portfolio construction, client solutions, and firmwide analytics workflows. While the role sits in the Systematic Equity (SE) Team, projects will span equities, fixed income and alternative assets in collaboration with subject matter experts on our investment teams around the world.

Responsibilities

Serve as a strategic lead for sustainability-related data and analytics, including vendor evaluation, data architecture considerations, governance, integration into investment workflows and scalability across teams and asset classes.
Empirically assess the impact of climate-related factors on investment portfolios.
Develop new and effective methods for communicating these assessments to clients.
Evolve our process to systematically manage emerging factors, including frameworks to support clients’ Net Zero alignment objectives.
Lead firmwide efforts to streamline the management of client exclusions lists, involving collaboration with various stakeholders and understanding of desired data architecture and analytics.
Translate complex quantitative and sustainability-related insights into clear, actionable narratives for both technical and non-technical stakeholders, including clients.
Identify and evaluate opportunities to leverage AI, advanced analytics, and automation to enhance sustainability research workflows, data management, investment insights, and client reporting capabilities.
Actively participate in the Systematic Equity Team workflow with an emphasis on data, analytics, and the intersection of sustainability information, portfolio construction, and traditional alpha ideas.

Requirements

Significant experience in quantitative investing.
Strong subject matter knowledge of sustainability investment concepts and data sets.
Undergraduate degree (or equivalent) plus work experience or certifications.
Prior work experience in one or more of the following a plus: quantitative asset management, financial modelling, programming (Python, SQL), AI (AI workflow, NLP).
Intellectual curiosity and demonstrated ability to rapidly learn and apply emerging technologies, data sources, and analytical approaches.
Product and innovation mindset with comfort iterating on new ideas, workflows, and research frameworks in ambiguous environments.
Ability to influence cross-functional stakeholders and drive alignment across investment, technology, research, and client teams.
Strong judgment in balancing methodological rigor, scalability, and practical business application.

Skills

Sustainable investing
Data analysis
Quantitative methods
AI
Python
SQL
NLP

Education Level

Advanced degree in a quantitative field or environmental science preferred (e.g. finance, economics, statistics, environment science, or other quantitative discipline).
Certifications such as CFA or equivalent a plus.