Applied Data Intelligence Data Desk Analyst
MSCI
Manila, Philippines
4d ago

Position Overview

Data Desk team provides solutions for the full lifecycle of data content management : vendor procurement, quality analysis, usability, scalability and new product feasibility studies.

We cover a growing set of asset classes and data categories including among others, market data, fundamental data, analyst forecasts, corporate actions and MSCI proprietary data.

As a Data Desk Analyst, you will be part of the Applied Data Intelligence function. Our role is to coordinate and accelerate the handling of data requests within MSCI from internal clients (Research and product teams).

Help Research and Product to make clear decisions on what can and cannot be used for product creation by presenting clear pictures through data certification assessment.

Other mandate includes applying statistics / data science techniques for data quality assurance and control, automation of data diagnostics, feasibility study for implementing system infrastructure projects, specifications development, testing, etc.

Scope of Responsibility

  • Develop business understanding of data and brainstorm on developing data metrics to quantify coverage, quality and stability for existing or new data
  • Manage the data requests pipeline by diligently answering any new product development or research data requests. In this role, you will have to analyze data not yet available in the catalogue and assess if they are fit for purpose for a new product.
  • Do exploratory work to identify patterns in data and derive meaningful information to drive business intelligence by analyzing voluminous amounts of data
  • Evaluate data from vendors to assess fit for current requirement and use cases. Work with vendor files, manuals and develop and understanding of the data structures.
  • Summarize results and provide recommendations through concise marketing materials in presentations, conference calls
  • In consultation with other internal clients and functions, define the data governance parameters required to qualify data in the MSCI data catalogue : Vendor information, metrics (data overage, quality), and methodology information.
  • Explain to internal clients how the parameters can be used for various business use cases.

  • Understanding of IT systems, databases and experience of working with large data sets.
  • Specific Knowledge / Skills

  • You have strong expertise in business intelligence, quantitative finance and descriptive statistics and you are good at application of statistical methods in analyzing data
  • You have strong interest in Finance - work experience in finance and / or capital markets with knowledge in providers of financial data products (Reuters, Interactive Data, Factset etc.
  • preferred; any progress towards CFA or FRM would be a plus

  • You have inclination to work on large data sets and come up with creative solutions on data mining
  • Good communication skills (written and oral) and proficiency in creating presentations.
  • You are an independent worker who can drive certain parts of the work with minimal oversight
  • Desired Experience 1-3 years Desired Qualifications

    You have some knowledge of database structures and know SQL or other database querying language.

    You have some level of proficiency (good to have) in PYTHON (preferred) or R; knowledge of other technical languages would be a positive.

    To all recruitment agencies :

    MSCI does not accept unsolicited CVs / Resumes. Please do not forward CVs / Resumes to any MSCI employee, location or website.

    MSCI is not responsible for any fees related to unsolicited CVs / Resumes.

    MSCI Inc. is an equal opportunity employer committed to diversifying its workforce. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership / union status, pregnancy (including unlawful discrimination on the basis of a legally protected pregnancy / maternity leave), veteran status, or any other characteristic protected by law.

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