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Join Morningstar Sustainalytics in shaping the future of ESG through innovative indicator and metric development
Overview
Salary
No salary declared 😔
Location
Bucharest, Romania - Hybrid
Nomad Friendly?
Hybrid (In-person ~2 days / week)- Bucharest Romania
Expires
Expires at anytime
Organisation summary: Morningstar Sustainalytics stands at the forefront of sustainable finance, dedicated to making an impact with ESG (Environmental, Social, and Governance) insights. As a pivotal player in the industry, the company focuses on creating a global standard for sustainability and ethical practices within the investment realm. This is an exceptional chance to join a team that's influencing the future of finance, aligning investments with social and environmental responsibility.
- Collaborate with cross-functional teams to develop and enhance ESG product methodologies.
- Drive the automation of data collection and standardization of historical ESG data storage.
- Implement improvements to ESG indicators and metrics, ensuring data accuracy and relevance.
- Conduct rigorous testing and analysis to validate ESG indicators and metrics.
- Utilize data science and statistical analysis to extract insights from ESG data.
- A minimum of 5 years of relevant experience in information systems, ESG, sustainability research, or finance.
- Advanced degree in Econometrics, Finance, Statistics, Computer Science, or a similar field, or a Bachelor's with equivalent experience.
- Expertise in quantitative analysis, programming, statistics, econometrics, modelling, and big data.
- Proficiency in MS Excel and VBA, with Python, R, SQL, and PowerBI skills as a plus.
- Ability to excel independently and within a collaborative team setting.
Morningstar offers a hybrid work environment, blending remote work with in-person collaboration, and includes a comprehensive benefits package to support flexible work needs.
About the role: This position is responsible for the design, development, implementation and maintenance of all ESG indicators and ESG metrics within Morningstar Sustainalytics. It encompasses both technical applications and content considerations, ensuring a cohesive approach to our portfolio of product-agnostic indicators and metrics. A key responsibility of this role is to support ongoing projects to automate data collection for indicators and metrics. Collaboration is key, and close interaction with the ESG data team, research teams, IT teams, product development team, and product excellence team is required for the successful development and maintenance of indicators and metrics.
Job responsibilities: - Collaborate closely with leaders of the Research & Methodology team in the creation and enhancement of product methodologies, with a particular focus on the creation of new indicators and metrics to support product development needs. - Propose and enact revisions to indicators and metrics in order to support automation. - Oversee general improvements to indicators and metrics within our products, such as the provision of additional datapoints and meta data (tickbox criteria, citations, analyst comments, collection date, estimated vs reported information etc). - Testing of internal and external validity of indicators and metrics including change/impact analyses and portfolio performance analyses; - Interpretation and communication of testing results; - Apply data science techniques and perform statistical analyses to gain insights on indicator & metrics base, using our internal data base and IT systems structures; - Contribute to efforts to automate data collection for indicators and metrics and establish a standardized approach for storing historical scores and values.
Qualifications: - At least 5 years work experience, especially related to management information systems, ESG, sustainability research and/or finance. - Master’s degree in Econometrics, Finance, Statistics, Computer Science or related discipline or Bachelor’s degree with the equivalent, relevant experience. - A strong skillset that includes a background in quantitative analysis, programming, statistics, econometrics, modelling, and/or big data processing; - Creativity and problem solving that can be applied in real-life applications; - Strong MS Excel knowledge including VBA, with experience in Python, R or other statistical software considered an asset; - SQL and PowerBI skills considered an asset; - Ability to work independently and within a strong team environment.
Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. We’ve found that we’re at our best when we’re purposely together on a regular basis, at least three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues.
