The hiring process
| Round | Format | What's tested |
|---|---|---|
| Online Assessment (DSA) | ~60–90 min | Algorithmic screening |
| Machine Coding | ~90–120 min | Building a working system from scratch |
| Technical / Design Round | ~45–60 min | Depth, design, and product thinking |
| Culture / Values Fit | ~30–45 min | Ownership, pace, and alignment |
Process and cutoffs vary by drive/team and change over time — confirm on the official careers page.
Round-by-round: exactly what's asked & how to prepare
Online Assessment (DSA)
~60–90 minTypically two medium-level DSA problems in a timed environment. You need correct, efficient solutions with attention to edge cases. It is a filter to reach the coding-intensive later rounds.
- Array/string transformations with an optimization follow-up
- Graph or tree traversal
- Greedy or heap-based selection
- Hash-map counting on large inputs
- Drill medium problems by pattern on LeetCode
- Practice writing clean code fast, without an IDE crutch
- Rehearse edge-case enumeration before submitting
- Follow NeetCode's free pattern roadmap
- Time-boxing poorly across the two problems
- Missing edge cases that fail hidden tests
- Suboptimal complexity on a solvable problem
- Correct, optimal solutions
- Clean code under time pressure
- Systematic edge-case handling
Machine Coding
~90–120 minYou implement a small but complete system (for example a booking engine, wallet, or rate limiter) in ~1.5 hours. Navi grades modularity, readability, unit tests, edge cases, and sensible design patterns as heavily as whether it runs. Treat it like shipping production code, not a hackathon hack.
- In-memory service with clean layering (entities, services, repository)
- Concurrency-safe operations
- Extensible design so new features slot in without rewrites
- Input validation and error handling for a money-like domain
- Practice building small OOP systems in 90 minutes (splitwise, parking lot, wallet themes)
- Learn to structure code into clean layers and interfaces
- Write unit tests as you go, not at the end
- Review core design patterns (strategy, factory, repository)
- One giant file with no separation of concerns
- Skipping tests and validation to 'save time'
- Over-designing and not finishing a working core
- Modular, readable, extensible code
- Meaningful unit tests and edge handling
- A working, demonstrable core feature
Technical / Design Round
~45–60 minA discussion of your projects plus design questions relevant to fintech scale and correctness, often paired with reasoning about product and business impact. Interviewers want to see you connect technical choices to user journeys and metrics. Expect follow-ups that push on trade-offs.
- Designing a reliable payment or lending flow
- Idempotency and consistency in transactions
- How a technical choice affects a business metric
- Scaling a read-heavy or write-heavy service
- Study idempotency, transactions, and consistency models
- Practice a few fintech-flavored system designs
- Prepare to tie features to user and business outcomes
- Review your projects for measurable impact
- Ignoring correctness and auditability in money flows
- Talking only tech, never product or metrics
- Weak trade-off reasoning
- Product-plus-engineering thinking
- Correctness-first mindset
- Clear trade-off analysis
Culture / Values Fit
~30–45 minA conversation on how you handle fast-paced, high-ownership work and whether you align with Navi's values. Situational and behavioral questions dominate. It is a real evaluation of fit, not a rubber stamp.
- Operating with ambiguity and speed
- A high-ownership project you drove
- Learning from a failure
- Working across product and engineering
- Prepare STAR stories on ownership, speed, and failure
- Research Navi's products and mission
- Reflect on how you thrive in fast environments
- Prepare questions about team and roadmap
- Slow-and-cautious framing in a fast-paced shop
- Generic motivation
- No self-reflection on failures
- Bias to action and ownership
- Value alignment
- Honest reflection
What to master
- Data structures & algorithms
- Machine coding / LLD
- Object-oriented design & patterns
- Unit testing & code quality
- Transactions & idempotency
- System design
- Databases
- Product/business reasoning
Eligibility
open — role-based (SDE-1 and above; code-quality bar is high at every level)
Navi salary & compensation (2026)
Sachin Bansal's fintech; aggressive cash + ESOPs to attract senior product/fintech talent; bands can rival top product firms at senior levels.
| Role / Level | Experience | India — total CTC | US — total comp | What to know |
|---|---|---|---|---|
| SDE 1 (new grad) | 0–2 yrs | ₹18–30 LPA | — | base + ESOPs |
| SDE 2 | 2–4 yrs | ₹30–50 LPA | — | ESOP grants grow |
| Senior SDE | 4–8 yrs | ₹50–85 LPA | — | strong ESOP component |
| Staff / Lead SDE | 8–12 yrs | ₹85 LPA–1.4 Cr | — | scope-driven |
| Principal / EM | 12+ yrs | ₹1.4–2.2 Cr | — | rare senior band |
How the package is structured
- Comp mixes competitive cash with sizeable ESOPs; senior hires are often paid aggressively.
- Ownership over lending/insurance/UPI products at scale accelerates growth.
- Level and scope jumps drive the biggest raises; negotiate ESOP grant carefully.
- Understand ESOP valuation and liquidity given the private, pre-IPO status.
Indicative 2026 market ranges aggregated from public sources (levels.fyi, Glassdoor, AmbitionBox, candidate reports). Compensation varies widely by location, team, level calibration, and negotiation — use these as directional benchmarks, not guarantees.
Your prep plan
- Week 1: drill medium DSA daily for the OA
- Week 1: build 3–4 small LLD systems in 90-minute timed sessions
- Week 2: focus on tests, layering, and design patterns in machine coding
- Week 2: practice 2 fintech-flavored system designs with correctness focus
- Prepare ownership and failure STAR stories
- Study Navi's products so you can tie tech to business impact
Want this plan dated to your interview?
Upload your resume and tell Whis your interview date — get a personalized, day-by-day plan built around your gaps, then run Whis live in the interview.
Get my personalized planFrequently asked questions
What makes Navi's loop distinctive?
The machine-coding round. Navi grades code quality (modularity, tests, edge cases, patterns) as strictly as correctness, so treat it like production code rather than a quick prototype.
Do I need domain knowledge of lending or payments?
Not deep expertise, but showing you think about correctness, auditability, and business metrics in money-moving systems is a strong differentiator.
How fast is the process?
Fairly quick, often around two weeks. Prepare all round types in parallel rather than sequentially.