McKinsey
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Gurugram · On-site · 3-5 Yrs · Sep 28
Business consulting · 10000+ Employees · New York, US
McKinsey & Company is a global management consulting firm that serves private and public companies, governments, not-for-profits and non-governmental organizations. Our clients come to us with their most complex issues and our people help them to make change happen at all levels of their organization. In the past five years, we have served more than 2,000 clients of all sizes in all geographies and sectors. Our more than 10,000 consultants and 2,000 knowledge professionals speak nearly 130 languages and work in more than 100 locations in more than 60 countries. They hail from all backgrounds including medicine, engineering, civil service, entrepreneurship, science, business, professional athletics, and linguistics. They are united by their desire to make positive change in the world. That’s why we say that when you come to McKinsey, you “don’t just come to work. You come to change.”
Hiring: Engineering
What employees say
+ Benefits and people both are great
− Working hours can be long
More reviews on the company profile.
Interview experience · Team Leader
Problem solving interviews followed by Personal In person interviews at the Corporate office. Interview experience from receiving the HR call to the final onboarding is very smooth, and HR BP has ensured the best intervi
Difficult difficulty · India · 572 reports
More interview insightsJob description
Overview
Who You'll Work With
Responsibilities
- Bachelor's degree in computer science or a related field
- 5+ years in software development in the context of financial services (banking/insurance) or fintech/insurtech, particularly in designing and implementing complex enterprise systems that handle large-scale data processing, and in-depth skills with Python, Asynchronous Microservices
Qualifications
- Demonstrable experience with relational databases (e.g., PostgreSQL), NoSQL databases (e.g., Mongo, Cosmos and Elastic search), and in-memory databases (e.g., Redis)
- Proficient in cloud infrastructure, with a strong preference for experience in Azure, GCP, and AWS environments
- Skilled in the use of container technologies including Terraform, Docker and Kubernetes,
- Proficient in modern engineering practices including code refactoring, application of design patterns, design-driven development, continuous integration, scalability of applications, and application security
- Familiar with the Agile software development methodology and proficient with performance optimization and application profiler tools
- Strong understanding of Banking and/or Insurance domains, with ability to identify and shape technology-enabled transformation opportunities across areas such as underwriting, claims, risk, fraud, and customer journeys
- Strong interest in GenAI-driven transformations, including understanding of risks, governance, and best practices in financial services context
- Excellent analytical and problem-solving skills, with a proven track record of developing innovative and efficient solutions
- Capable of working effectively under pressure and managing client expectations.
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Last updated 1 October 2026
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