Job Number:
3246064
DESCRIPTION
London
- Sourcing and delivering ESG data/analysis to meet various ESG and climate risk related regulatory requirements and projects on behalf of Morgan Stanley's EMEA legal entities
- Incubation and execution of innovative sustainable investing approaches that leverage advanced data analytics to create products and solutions for EMEA clients of Morgan Stanley
- Conduct quantitative analysis on topics related to sustainable investing using a range of statistical and econometric methods.
- Collaborate with the Sustainable Insights Lab and GSO Technology teams on the development of analysis and quant-based solutions and digital applications for the Firm's clients.
- Help to integrate ESG data and analysis into regulatory reporting processes and deliverables for EMEA legal entities.
- Assist in ESG data vendor due diligence for EMEA based providers.
- Stay well-informed about the data implications from latest sustainability-related regulations, market trends and academic research.
- Summarize outputs appropriately for internal and executive audiences, and a wide range of clients.
- Contribute data analysis to the Institute for Sustainable Investing’s thought leadership pieces.
QUALIFICATIONS
- Undergraduate or Master’s degree in Mathematics, Economics, Statistics, Finance, Computer Science, Engineering or a similarly quantitative field.
- A strong interest and background in applying quantitative methods to sustainability topics in a financial setting, such as an equity or fixed-income trading, research, ESG/financial data provider or risk management operation.
- 6-10 years of work experience. Recent quantitative academic qualification can substitute for experience.
- Experience with one or more statistical programming languages (Python and/or R are preferred).
- Familiarity with financial market data sources (Bloomberg, Morningstar, Factset, Datastream) and environmental, social and governance (ESG) data frameworks and ratings approaches
- Familiarity with ESG data providers and data required to comply with evolving ESG regulations across EU and UK.
- Strong and efficient research capabilities, with ability to assess and analyze a wide range of financial and alternative data sources.
- Comfort juggling multiple priorities; strong organizational and time management skills
- Ability to work effectively as a member of a team or independently
- Persistence, tenacity and drive for result
- Applications of various climate scenarios in risk management and investment/financial services
- AI/NLP driven news and sentiment data sources or models
- Non-parametric statistical techniques
- Factor-based models, asset pricing, and portfolio optimization
- Fundamentals of financial analysis and corporate valuation
- Geospatial analysis tools and datasets