MSIM- Sustainable Investing- Quant Anlayst

Morgan StanleyNew York, NY
Hybrid

About The Position

Morgan Stanley Investment Management (MSIM) is seeking a Quantitative Analyst to support various investment teams' ESG data, analytics, and reporting needs. This role is crucial for positioning the firm as a leader in sustainable investing. The ESG data landscape is rapidly evolving, making ESG data and analytics essential for client acquisition and retention in investment management. The successful candidate will have a passion for sustainability and investment, expertise in data analysis, and a commitment to client service. This is a fast-paced role requiring the ability to manage multiple stakeholder requests and competing priorities, manipulate large datasets, identify data quality issues, and troubleshoot. The Quantitative Analyst will report to a Product Manager on the Sustainability Data & Technology team and collaborate with global Data, Technology, Investment, Operations, Legal, and Compliance teams.

Requirements

  • Analytical mindset; an entrepreneurial, collaborative disposition; and a commitment to advancing social and environmental outcomes.
  • 0-3 years of relevant analytical experience.
  • Strong coding and programming skills (e.g. Python, SQL).
  • Expert in using MS Office (Excel, PowerPoint, Word, Outlook) with exceptionally strong Excel skills: ability to manipulate large datasets with v-look ups, pivot tables, macros, etc.
  • Strong data science and data visualization skills.
  • Highly organized with exceptional attention to detail and follow-through.
  • Ability to manage multiple projects with competing deadlines.
  • Strong academic credentials and/or professional experience in investment management or data analysis.
  • Strong interpersonal and communication skills (oral and written).
  • Minimum bachelor’s degree, ideally in a quantitative discipline.

Nice To Haves

  • Experience with sustainability data broadly and ESG metrics, understanding how sustainability metrics are calculated, how underlying data is gathered, which data points are relevant in various contexts.
  • Experience working closely with datasets and/or providers, conducting ESG investment analysis using relevant data and frameworks or having deep knowledge of ESG reporting conventions and emerging standards gained in an audit and reporting capacity.

Responsibilities

  • Partner with ESG Product Owners, Portfolio Specialists, Technology and Investment teams to support ESG specific data and technology needs across various asset classes.
  • Support execution and project management of innovative sustainable investing analytics, including portfolio and security-level dashboards, ESG reports, and relevant ESG data visualization tools.
  • Assist with visualization and quality assurance of data, presentation, and other materials for a diverse set of partners, clients, and senior decision makers.
  • Act as an internal expert in ESG vendor data; developing a deep understanding of vendor methodologies.
  • Respond to various internal & external ESG data needs and queries such as client queries, external surveys, and investment team data requests.

Benefits

  • Ample opportunity to move about the business for those who show passion and grit in their work.
  • Attractive and comprehensive employee benefits and perks in the industry.
  • Support for employees and their families at every point along their work-life journey.
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