Job Description
The Role: S&P Global Sustainable1, the single source of essential sustainability intelligence, is seeking several experienced Analysts to join our Environmental Research & ESG Modeling team. The role provides an opportunity to work at the forefront of innovation in the field of sustainable finance. The successful
candidates will help to shape S&P Global Sustainable1’s cutting-edge suite of ESG analytics by developing proprietary models and datasets that are required to deliver this essential intelligence to our clients.The Location: Preferably London, New York, or Zurich, but other locations will be considered.

The Career Opportunity: 
• A high-impact role, with responsibility for key inputs to S&P Global’s core ESG products & services.
• Build a career with a global company.
• Work with a diverse international team, including senior stakeholders across S&P Global.
• As a high performing technical specialist, you will have access to S&P Global’s vast array of technical trainings, and the opportunity to develop your expertise in an expanding team with global reach.

The Team: Our team is composed of experienced professionals driven to identify the transformative solutions of tomorrow. The business has a casual and friendly atmosphere with an entrepreneurial spirit. As a team player, you will contribute to the unique culture and energy of the department as it continues
to grow.

Key Responsibilities: 
• Develop high-quality data models in Microsoft Excel, VBA, Python, R (or similar) to meet growing
demand from our customers for more sophisticated ESG products and tools.
• Implement new datasetsto inform broader ESG performance analytics and support ongoing
database management and delivery to clients.
• Clearly communicate insights and complex technical approaches to clients and internal stakeholders,
verbally and in writing (incl. detailed methodology report writing & graphical representation of data).
• Participate in technical workshops and cross-divisional strategy planning sessions to guide future
innovation and the enhancement of S&P Global Sustainable1’s ESG framework.
• Work collaboratively with a diverse team across multiple locations to promote modelling bestpractice and ensure quality of deliverables.

Essential Requirements:
We are recruiting at various grade levels, depending on years of experience, but all successful candidates must be able to demonstrate the following:
• Strong technical expertise in Microsoft Excel (and preferably VBA).
• Beginner/intermediate programming skillsin Python, R (or similar).
• Minimum of two years’ professional experience working withlarge, complex datasets to support business and investment decision-making, incl. demonstrated ability in data quality control, source documentation, and synthesis of complex technical data to develop meaningful insights for clients.
• Minimum of Bachelor’s degree or equivalent in science, economics, engineering, mathematics, or
similar quantitative discipline.
• Minimum of A-level or equivalent in mathematics.
• Excellent verbal and written communication skills, incl. confidently presenting complex information to clients & other key stakeholders in ways that they can easily understand and inform their actions.
• Self-motivated, organized, detail-oriented, with a positive, “can do” attitude.
• The candidate should be conscious of detail and numerically proficient, with natural curiosity and an
innovative approach to problem solving.
• Personable, with a demonstrated strength in planning and executing work assignments to tight
deadlines, independently and as part of a diverse international team.
• Fluent written and spoken English (additional languages will be looked upon favorably).
• Good awareness of S&P Global’s traditional business, and a view on how to integrate ESG into future
product development.

Preferred Experience:
Technical experience in one or more of the following areas is highly favorable:
• Education or professional experience in environmentally extended input-output (EEI-O) modelling
and/or life-cycle assessment (LCA), and their application to evaluate business ESG impacts & risks.
• Familiarity with probability theory and statistical imputation techniques, and their application across
(sparse) ESG datasets, or similar.
• Background in environmental economics, particularly monetary valuation of externalities.

Other Desirable Skills:
• Master’s degree in sustainability, or relevant work experience.
• Experience of analyzing social ESG factors, incl. human capital, diversity & inclusion, human rights,
and occupational health & safety risks.
• Technical expertise in other sustainability research and/or ESG topics, particularly examples of using
and manipulating ESG datasets.
• Strong awareness of trendsin ESG and the next generation of best-in-class ESG data products.
• Proficiency in other programming languages and/or data software packages, incl. SQL, Alteryx,
Tableau, Power BI (or similar)

Source: for more information click here.