McKinsey Recruitment Drive | Hiring Research Science Analyst

McKinsey Recruitment Drive :-

McKinsey is hiring candidates for the role of Research Science Analyst – Performance Lens for the Gurugram, India locations. The complete details about McKinsey Recruitment Drive are as follows.

Company Name:- McKinsey

Job Position:- Research Science Analyst – Performance Lens

Job Location:- Gurugram, India

Salary Package:- As per Company Standards

Job Category:- Analytics

Job ID:- 88891

Required Qualification & Skills:-

• Bachelor’s degree in business, economics, finance or related field with 1+ years of experience or
• Master’s degree in business, economics, finance or related field preferably with the experience of working in a fast-paced, high-demand business environment
• Background or strong interest in asset management, economics and industry dynamics
• Capable problem solver with drive to identify and execute creative solutions
• 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
• Comfortable with ambiguity; strong sense of ownership and perseverance
• Comfortable with working across a global team in multiple geographic time zones
• Business-level language skills
• Fluency in English. Knowledge of other languages is a plus

Job Description (Who You’ll Work With):

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.

Performance Lens is a McKinsey Solution that manages the proprietary data of the Wealth and Asset Management practice and 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 be understanding the “granularity of growth”, guiding resource allocation, or providing an objective source for assessing market share.

Roles & Responsibilities (Your impact within our firm):

You will work in Gurugram, India as a direct part of our Performance Lens team.  

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 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.  

McKinsey Recruitment Drive Application Process:-

Apply In Below Link

Apply Link:- Click Here To Apply (Apply before the link expires)

Note:– Only shortlisted candidates will receive the call letter for further rounds

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