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Tier-1 brand, metro location, and mid-level generalist profile increase applicant competition.
Finance-focused ESG valuation and stewardship expertise limits easy transferability across unrelated industries.
Explicit 3+ years, valuation/ESG domain expertise and mandatory Python skills make screening relatively strict.
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Build and maintain automated data pipelines, quantitative models, and screening tools to identify ESG risk exposures and prioritize company engagements.
Conduct fundamental company research assessing impacts of environmental, social, and governance factors on long-term valuation using financial analysis and DCF valuation.
Design, automate, and implement controls for engagement and proxy voting processes to support stewardship standards and compliance.
Master's degree in Economics, Finance, or similar, plus a highly technical undergraduate degree (e.g., Computer Science, Engineering, Data Science).
Proficiency in Python for data analysis, modelling, automation, and applying AI models.
3+ years relevant experience in investment research, company analysis, or analytical roles involving financial statement review, cash flow forecasting, valuation, and ESG risk assessment.
Experience in designing, implementing, and maintaining operational processes related to stewardship activities.
Quantitative, data-driven professional with strong financial modelling skills including DCF valuation and ESG integration.
Experienced in operating within investment research or stewardship environments, supporting portfolio managers and stewardship teams.
Capable of translating qualitative ESG risks into measurable financial impacts and automating workflows leveraging AI and programming skills.