MSCI Inc | Hiring | ESG Production Services Analyst | BigDataKB.com | 44831

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Job Location: Mumbai

Your team responsibilities

MSCI Production Shared Services team is responsible for generation and delivery of MSCI Products and is seeking to expand its Production Shared Services (PSS) team for ESG


What we will offer you:

  • At MSCI, we provide competitive benefits programs in every region in which we do business. While our benefits plans vary in availability in our different locations, we offer a broad range of benefits that are part of the value you receive as a MSCI employee. Wherever you are with us, you will find benefits that can help ensure your health and well-being and contribute to your financial security.
  • A hybrid work environment, for the vast majority of employees, offering a more progressive way of working to give you the flexibility, accountability, and responsibility to empower you to perform at your very best. At the center of this way of working is a culture which is built on a strong foundation of trust. We trust our people and they trust our organization’s leaders to support them.
  • An inclusive and performance driven culture where you are empowered to maximize your potential in an environment where all individuals are respected and encouraged to bring their authentic selves to work
  • A purposeful approach to Wellbeing to provide you with all the resources you need to be your best at work and in your personal life. Our Here For You Employee Assistance Program provides confidential emotional support with local experts, financial and legal advice in a wide range of issues as well as access to online information, resources and tools. All the services are available for our employees free of charge.


Your key responsibilities

  • Develop business understanding of data and brainstorm on developing data metrics to quantify coverage, quality and stability for existing or new data
  • Do exploratory work to identify patterns in data and derive meaningful information to drive business intelligence by analyzing voluminous amounts of data
  • Automation of data quality diagnostics by developing a new system/tool which will enable quality assessment of data without manual intervention
  • Evaluate internal data and processes to gain better understanding of the data structures
  • Coordinate changes to the production process required for new product offerings or existing product enhancements.
  • Summarize results and provide recommendations through concise marketing materials in presentations, conference calls.
  • Develop standardized templates and build documentation on product deliverables, internal services agreements etc
  • Understanding of IT systems, Databases/Data lake/API and experience of working large data sets.


Your skills and experience that will help you excel

  • You have strong expertise in business intelligence, quantitative finance and descriptive statistics
  • Application of statistical methods in analyzing data. PYTHON, R would be good to have (python preferred)
  • Good to have: Practical understanding and application of data science and machine learning techniques Appreciation for new trends in technology like Machine Learning/NLP is a plus and willing to learn to use it in practice
  • 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.)
  • 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.
  • An independent worker who can drive certain parts of the work with minimal oversight


How we’ll support you

  • Coaching, support and encouragement from experts in your team
  • Access to a wide range of learning opportunities to support your growth and development
  • Customizable learning journeys to help you navigate your professional development
  • Transparent performance-based compensation schemes
  • Employee Resource Groups: MSCI Pride, Black Leadership Network, Women’s Leadership Forum, Women in Tech, Asian Support Network, All Abilities, Hola! MSCI and Climate Action Group.

About MSCI and our teams

MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process.

Our values define the working environment we strive to create. We are inclusive, we champion bold ideas, we always pursue excellence, and always act with integrity. Personal accountability and responsibility are key to success, and we always work as a team to remain client centric.

At MSCI diversity is at our core and inclusion defines our culture. Our people are empowered to maximize their potential in an environment where all individuals are respected and encouraged to bring their authentic selves to work. We work, learn and grow together and we are committed to hiring and promoting qualified women, ethnic minorities and members of the LGBT+ community candidates, who have historically been underrepresented in financial services.

To learn more about life at MSCI please visit https://careers.msci.com or follow us on LinkedIn, Twitter, Glassdoor.


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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