Good work-life balance, but poor communication in planning
Pros: Work life balance, at high pay
Cons: Planning is bad because communication is not great
View on Glassdoor
Kotak Mahindra Bank headquartered in Mumbai, India has 2 active tech roles on Feedback AI with AI match scores, optional skill assessments, and company insights when Glassdoor enrichment exists. Candidates browse open listings on this profile; signed-in users see ranked fit and skill gaps per role. Employers post jobs and review match-ranked applicants on the same platform.
Office locations
2
Open roles tracked
1
Posted last 7 days
2
Posted last 30 days
Open roles at this company sorted by AI match score — skills, experience, and company fit when you are signed in. Guests browse the same roles on the public job board.
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What employees say
+ Work life balance, at high pay
− Planning is bad because communication is not great
Recent Glassdoor reviews · 6,204 total
Pros: Work life balance, at high pay
Cons: Planning is bad because communication is not great
View on GlassdoorPros: Good work life balance, my team was hybrid
Cons: You only get your salary, no perks as such.
View on GlassdoorPros: able to work in high traffic Payment Distributed Systems , which can improve our expertise in Software Domain
Cons: HR's are not very responsive , manager's didn't mention their expectation clearly , seniors didn't guided us well.
View on GlassdoorPros: Depending on the team and the vertical head.
Cons: Depends on team and vertical head
View on GlassdoorPros: Good managers present in the team
Cons: Excessive rules by hr in office
View on GlassdoorCompany review data sourced from Glassdoor.
Glassdoor salary estimates for top hiring roles · 7,017 salary reports on Glassdoor
| Role | Location | Median | Range (LPA) | Reports |
|---|---|---|---|---|
| Engineering Manager | India | 21.0 LPA | 19.1 LPA – 22.6 LPA | 1 |
Salary benchmarks are estimates from Glassdoor and may differ from individual job listings.
India-scoped Glassdoor interview reports · 707 total · avg difficulty 2.7/5 · 760 questions indexed
Misleading interview experience for Data Scientist role The JD mentioned Python, SQL, statistical analysis and Data Science/AI skills, so I prepared accordingly. HR also told me that no banking/finance knowledge was required. However, my interview had zero technical assessment — no Python, SQL, ML, statistics, coding, or AI questions. Instead, the discussion focused almost entirely on business cases, portfolio/funnel-related topics, customer adoption, and how to sell services to customers. The interviewer also repeatedly commented that I was "too technical." This felt much more like a business analyst/business-facing role than the technical Data Scientist position described in the JD. If the interview was intended to evaluate business/product skills, that should have been communicated beforehand so candidates could prepare appropriately. Very disappointing use of candidates' time given the mismatch between the advertised requirements and the actual interview.
Sample questions
Working capital operation hiring manager is Nirav Desai only interested with your personal life no interest in your interview just asking for personal life and auto rejection no response do to candidate
Sample questions
The interview process was smooth and well organized. The interviewer asked questions about my background, communication skills, customer handling, teamwork, and internship experience. The discussion was professional, friendly, and focused on understanding my problem-solving approach and attitude.
Sample questions
First round was DSA , LLD and distributed systems which is barraiser round. I was asked Two Sum and best time to buy and sell stocks in DSA , Asked to design LLD for food delivery system like swiggy,zomato and few questions on distributed systems
Sample questions
The interview process consisted of four main stages over three weeks. It began with an online technical assessment covering SQL, Python, and machine learning fundamentals. Next, I had a technical round focused heavily on my past data science projects and core ML algorithms. This was followed by a business case-study round with the hiring manager to evaluate problem-solving skills. The final step was a standard HR interview covering behavioral questions, cultural fit, and salary expectations.
Sample questions
Top hiring roles: Engineering
Last updated 22 September 2026
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