Updating Results

McKinsey & Company India

  • 1,000 - 50,000 employees

Research Analyst - Performance Lens null

India, Gurgaon/Gurugram

Opportunity Expired

McKinsey & Company is hiring for the role of Research Analyst - Performance Lens.

Opportunity details

Opportunity Type
Graduate Job

Application dates

Minimum requirements

Accepting International Applications
No
Qualifications Accepted
B
Finance
Business Administration & Management
Economics

Hiring criteria

Entry Pathway

See details

Who You'll Work With

You will be based in our Gurgaon office as part of our Performance Lens team, which is a McKinsey Solution that manages the proprietary data of the wealth and asset management practice. The Performance Lens team provides fact-based, actionable insights to improve asset managers’ business performance by combining industry-leading data, analytics, and tools with McKinsey’s deep asset and wealth management expertise.
The Global Growth Cube is a unique resource that brings together and reconciles hundreds of disparate public and private data sources and overlays McKinsey’s proprietary data from our global asset management survey to consistently size over forty asset management markets globally. Our investment in this knowledge asset is grounded in the belief that a highly granular and objective perspective on the industry is critical for helping asset managers make key strategic decisions, whether this is understanding the "granularity of growth", guiding resource allocation, or providing an objective source for assessing market share.

What You'll Do

  • You will have direct accountability for several key initiatives across the Global Growth Cube. 
  • In this role, you will work closely with Performance Lens colleagues globally and be responsible for sizing several of the largest asset management industries globally including key Asia-Pacific and European markets.
  • You will conduct detailed secondary research on industry structure and dynamics including gathering and triangulating data/information from industry reports, annual reports, industry associations, regulatory sources and local data providers, and reviewing your model inputs, assumptions and outputs with local experts within McKinsey to facilitate accurate sizing of the AM industry in the respective markets.
  • You will develop and maintain high-quality excel models looking across key global asset management market trends, incorporating publicly available data sources and proprietary information. You will contribute your insights and learnings to inform and refine the forecasting process for your focus markets. 
  • You will also support consulting teams globally by providing Growth Cube data, charts and insights while also delivering proactive support in responding to queries from external Growth Cube clients.
  • Over time, you will take complete ownership of key Global Growth Cube country models including synthesizing and incorporating knowledge from all external research reports and/or interviews and providing deep content expertise to internal and external stakeholders.

Qualifications

  • Master’s degree in business, economics, finance or related field
  • 1+ years of experience working in a fast-paced, high-demand business environment
  • Background or strong interest in asset management, economics and industry dynamics
  • Strong Excel, analytical and data management skills
  • Ability to quickly synthesize various data sources to generate clear, complete perspectives
  • Ability and flexibility to manage multiple assignments in a dynamic, complex and fast-paced environment
  • High level of attention to detail; strong sense of ownership and perseverance
  • Comfortable with working across a global team in multiple geographic time zones
  • Business-level language skills and fluency in English

Hiring criteria

You should have or be completing the following to apply for this opportunity.

Entry Pathway
Degree or Certificate
Minimum Level of Study
Masters (Coursework) or higher
Study Field
B
Finance
Business Administration & Management
Economics