Job
Description
👉 Apply Through Website : CLICK HERE
Title: Data Research Analyst, Equity Operations
Shift : Flexible to work in shifts
Shift Timings (Morning) : 5:30 am to 2:30 pm (Pick up provided) / General : 10am to 7pm / Afternoon Shift (UK) : 3pm to 12am( Drop provided) / Night Shift (US) : 8pm to 5am (Drop provided)
How to Apply : Application Link (mandatory)
Candidates need to visit the below link and submit their application failing which the application wont be considered :
https://morningstar.wd5.myworkdayjobs.com/Americas/job/Mumbai---Vishwaroop/Data-Research-Analyst--Equity-Operations_REQ-019527
Eligibility:
Candidates who have attempted the online test for Equity role in past 6 months, wont be eligible.
60 % and above in Final year Graduation Or Post Graduation
Only Finance Graduates Or Post Graduates can apply to this role.
MBA / MMS / / PGDM/ MCOM / BMS / BBA/ B&I / BCOM / A&F can apply.
Aadhar Card is mandatory for candidate registration at the time of attempting online test.
Immediate Joinees preferred.
Selection Process:
Eligible candidate will receive an email with the online test link and instructions. The candidate would be required to attempt the test as per the date and time mentioned in the email. The candidates selected in the test will undergo 3 virtual interview rounds. The online test and the interviews will happen in the month of April 2021 itself.
Only shortlisted candidates will be contacted by the recruitment team.
Date of Joining:
The expected date of joining is May 2021. We welcome candidates from diverse locations to apply since the onboarding will be virtual and selected candidates will be required to work from Morningstar office only once the Covid situation is under control.
Job Location: Vashi, Navi Mumbai
The Group:
Morningstars Research group provides independent analysis on individual securities, funds, markets, and portfolios. The Research group also provides data on hundreds of thousands of investments offerings, including stocks, mutual funds, and similar vehicles, along with real-time global market data on millions of equities, indexes, futures, options, commodities, and precious metals, in addition to foreign exchange and Treasury markets. Morningstar is one of the largest independent sources of fund, equity, and credit data and research in the world, and our advocacy for investors interests is the foundation of our company.
The Role:
In this role you will work on collecting fundamental data from balance sheet, cash flow statement, income statement and footnotes for Global market companies as per the predefined collection policies. You will adhere to local teams goals, policies and procedures and work in a focused manner to achieve the overall organizations goals and objectives. You will be responsible for ensuring and improving the performance, productivity and efficiency and the delivery of the operational performance KPIs. You will effectively manage your performance and development in order to support our continuous operational success.
Responsibilities:
Establishing and achieving the set SMART goals with the direction of the team lead.
Have a very good understanding of the fundamental data for companys income statement, cash flow statement, balance sheet, and other fundamental data sets.
Expected candidates to be strong in Financial Accounting concepts with through understanding
Participate in the Center of Excellence initiative focused on reducing resource costs, consolidating global data collection platforms, and supporting database integration projects.
Own and Drive continuous improvement within the process through Quality initiatives.
Collecting and analyzing equity fundamentals data for Global market and taking ownership in data quality controls to ensure consistent and high quality data are manufactured in order to meet product requirements.
Manage data as per client-specific requirement, while at the same time adhering to Morningstar's set KPIs and KRAs.
Develop a thorough understanding of the various filing nomenclature of countries under coverage.
Passion for data and its impact on decision making.
Closely work with quality assurance and technical department to resolve clients data issues timely and effectively.
Actively discover and raise issues in work (including system, process, and collection methodology) and propose enhancement suggestion to further improve system functionality, process efficiency and data quality.
Participate in other data and process related projects, like industry/market data collection methodology research, market expansion, process certification, new product development support, etc.
Morningstar is an equal opportunity employer.