Analytics
Research Science Analyst - Performance Lens
Job ID: 88891
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.
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.
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.
- 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 Skill Group - N/A
Job Skill Code - RSSA - Research Science Analyst
Function -
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Mon Jun 03 00:00:00 GMT 2024
LinkedIn Posting City - Gurgaon
LinkedIn Posting State/Province -
LinkedIn Posting Country - India
LinkedIn Job Title - Research Science Analyst - Performance Lens
LinkedIn Function - Finance
LinkedIn Industry - Accounting;Banking
LinkedIn Seniority Level - Entry level