Senior Analyst, Global Research & Design
The Team : Global Research & Design, Americas
The Impact :
The Global Research & Design group at S&P Dow Jones Indices is looking for a quantitative research analyst with a background in technical computing and portfolio construction to support the Americas region research team.
The team is responsible for the conceptualization and design of new indices for S&P Dow Jones Indices, and the creation of research to provoke thinking on new passive investment concepts.
The team serves as an innovator and thought leader within and outside the organization.
Your Impact :
This role handles all aspects to support the research and design for equity and multi-asset indices and involves generating investment ideas, gathering and cleansing data, back-
testing strategies, running index analytics, finalizing index methodologies, preparing presentations, and publishing research papers.
Additionally, you will create and support automated tools and processes used by the team. The role will be based in Mexico City working with research team members based locally and in New York.
Perform portfolio construction, back-testing, and quantitative analysis of various index strategies including smart beta, multi-
asset, alternative / big data, sustainability, thematic, etc.
Support lead analysts on data gathering, data quality assurance, and index analytics.
Assist lead analysts in the creation of research publications, documentations, and other presentation collateral.
Create and support automation tools and process used by the wider team.
Coordinate with the rest of the Global R&D team, as well as other functional groups including Product Management, Index Management, Sales, and Channel.
Must be able to manage multiple concurrent projects and deadlines.
Must be able to clearly communicate to a variety of both internal and external clients.
Skills and Experience We Are Looking For :
3+ years of professional experience in a financial services or analytics role.
Bachelor’s degree or equivalent in a quantitative field such as Finance, Mathematics, Data Science, Computer Science, or Engineering.
Master’s degree preferable.
Progress towards (level II or level III candidate) or completion of CFA charter exams.
Programming skills in Python, MATLAB, and / or R, and experience in relational databases (SQL).
Experience using financial data applications e.g. FactSet, Morningstar, Bloomberg, Reuters.
Hands-on experience with portfolio back-testing and simulation.
Good understanding of investment process and portfolio theory.
Exposure to alternative and unstructured data preferable.
Experience working independently on multiple projects and coordinating with multiple working groups.
Prior experience working in a global investment setting preferable.