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Walk in May Research Associate Private Market Data

1.00 to 3.00 Years   Mumbai City   19 Jun, 2019
Morningstar India
Job LocationMumbai City
EducationNot Mentioned
SalaryRs 3.0 - 4.0 Lakh/Yr
IndustryBanking / Financial Services
Functional AreaSales / BD
EmploymentTypeFull-time

Job Description

Hi, Interested candidates are requested to be available for online test + personal interviews at our office premises on Saturday, 25th May 2019 as per below time slots: 9:30 AM- 10:30 AM, 10:30 AM-11:30 AM, 11:30 AM- 12:30 PM, 12:30 PM-1:30 PM Address: 11th Floor, Platinum Techno Park Plot No-17 & 18, Sector -30 A Vashi , Navi Mumbai Note - Candidates who have applied for the same position in the last six months are not eligible. Candidates reappearing fraudulently will be dealt strictly as per Morningstar policy. Candidates who can join in June are preferred Title: Research Associate, Private Market Data Operations, PitchBook Data, a Morningstar company The Team : The Private Market Data team performs web-based research and utilizes technology tools to capture hard-to-find data on burgeoning venture capital (VC), private equity (PE), and mergers and acquisitions (M&A) markets. The information enables Morningstars institutional clients such as VC and PE firms, investment banks and law and accounting firms to develop insights into the flow of capital across the industry, conduct research on potential investment and acquisition opportunities, connect with professionals and advisors and gain a competitive edge in investment decision-making and negotiations. The Role: The Research Associate accurately and efficiently collects and enters data on companies, deals, people, funds, investors and service providers across the entire private investment lifecycle. The role is responsible for reviewing news filings, regulatory filings and websites to collect key data points on financing rounds, company management, financials, service providers etc. and enter those into a web-based tool. Responsibilities :

  • Review news, web and regulatory filings to create an accurate view of an event and quickly extract and enter relevant information in a web-based tool
  • Quickly and effectively scan multiple documents for new information and be able to compare against other sources and an internal database
  • Complete data collection tasks within a specific dataset and process area such as PE, VC, M&A, New, People, Service Providers, Investors etc.
  • Learn methodology and processes quickly and be able to apply that knowledge consistently
  • Understand and learn financial concepts and figures
  • Interpret daily and weekly performance metrics and seek to improve personal performance
  • Identify and communicate areas for improvement across all areas including process and tools
,

Keyskills :
edgescanmergersresearchplotdealstechnocapitalmetricsfiguresdatabase

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