Industries we serve
Banking & Financial Services
Banks, NBFCs, insurers and the analytics teams behind them — where a spreadsheet error is a financial loss and every decision has to stand up to a regulator.
What this sector screens for
Commerce and economics graduates know the accounting standards and cannot build a model from raw data, write a credit note or explain a variance to a manager. The hiring test is practical.
Roles we prepare for
- Credit analyst
- Financial analyst
- Business analyst
- Risk and compliance associate
- Operations analyst
Disciplines that place here
- Finance, Banking and Business Analytics
- Data Analytics and Digital Technology
- Operations and Supply Chain

At a glance
- 5
Entry roles
Titles this sector's track is written against.
- 3
Feeder disciplines
Degrees that place into this sector.
- 4
Track modules
Domain modules built for this sector alone.
- 5
Pipeline stages
Screen, Gap Map, Develop, Validate, Place.
The hiring bar
What you are expected
to do unsupervised.
Not the job description. The four things a team quietly assumes a new graduate can already handle, and notices immediately when they cannot.
01
Build a model someone else can check
Clear inputs, no hard-coded numbers, and a structure a reviewer can follow in five minutes.
02
Write the credit or investment note
A recommendation, the numbers behind it and the risks against it, on two pages a committee will actually read.
03
Reconcile and explain
Find out why two numbers that should match do not, and explain a variance without guessing.
04
Work inside the rules
Know-your-customer, anti-money-laundering and regulatory reporting followed as part of the job, not bolted on afterwards.
Syllabus versus shortlist
Two different
reading lists.
The degree is not wrong. It is answering a different question from the one you will be asked across the table.
- What the degree gives you: Financial statements prepared from a clean trial balance.
- What the shortlist asks for: A borrower's accounts with gaps in them, and a decision to make anyway.
- What the degree gives you: Ratio analysis as formulas to memorise.
- What the shortlist asks for: Ratios used to argue for or against a loan in front of a credit committee.
- What the degree gives you: Excel as a subject you passed.
- What the shortlist asks for: A twenty-tab model, a deadline and a manager who will find the error.
- What the degree gives you: Economics as theory and diagrams.
- What the shortlist asks for: A rate change, and a question about what it does to the loan book.
The domain track
Written against
this sector only.
Four modules, specified by practitioners in this sector and re-reviewed on a fixed cycle. Your gap report decides the order you meet them in.

01
Financial analysis and modelling
Reading statements, building three-statement models and valuation basics, in the spreadsheet conventions analysts actually use.
02
Credit and risk assessment
Credit appraisal, cash-flow analysis, risk grading and the notes that go to a credit committee.
03
Business analytics
SQL, Excel and a BI tool, used to answer a business question from raw data rather than to produce charts.
04
Regulation, compliance and operations
KYC, AML, the basics of RBI and SEBI reporting, and how a bank's operations actually process a transaction.
The language of the room
Words you are assumed
to already have.
An interviewer will not define these before using them. The track puts you inside the vocabulary rather than handing you a glossary to memorise.
Analysis
- Three-statement model
- DCF
- EBITDA
- Working capital
- Variance analysis
- Sensitivity
Credit and risk
- Credit appraisal
- DSCR
- NPA
- Collateral
- Risk grading
- Exposure limit
Regulation and operations
- KYC
- AML
- Regulatory returns
- Reconciliation
- Maker-checker
- Audit trail
Where these roles sit
Same sector,
four different rooms.
The bar is the sector's, but what each kind of employer leans on hardest is not the same. Knowing which one you are sitting in front of is half the preparation.
Banks
Public and private sector banks, where graduates join credit, operations, treasury support or relationship roles.
NBFCs and fintechs
Lenders and payment companies that move faster than banks and expect analysts to work with raw data from the first week.
Insurers
Insurance companies hiring for underwriting, claims analysis and actuarial support.
Finance operations and analytics centres
Large teams in India running finance, risk and reporting work for global banks and funds.
Sector questions
Asked before
anyone applies.
What the sector expects
Do I need a CA, CFA or MBA to get in?
Not for most entry roles. Those qualifications help later, and some roles ask for them. The track covers what entry roles test — modelling, analysis and clear writing — and your gap report says plainly if your target needs a qualification.
Is this only for commerce graduates?
No. Economics and BBA graduates place into analyst and risk roles, and computer science and data graduates into analytics and fintech. The shared modules are the same; the depth follows your gap report.
Is banking only about sales?
No. Sales roles exist, but so do credit, risk, operations, compliance and analytics. The track prepares you for the analytical side and is clear about which roles are which.
How the track runs
Will I build real models?
Yes, from real company filings and anonymised data, marked on structure and accuracy. The mock interview includes a modelling or case exercise, because that is how analyst interviews run.
I want to work in analytics, not credit.
Say so at the Screen stage. Analytics roles lean on SQL and BI tools, and your sequence is built from that target.
How current is the regulatory content?
The owning subject matter expert re-reviews it on a fixed cycle, because the rules change often. A module nobody has revisited in two years is withdrawn rather than reissued.
Banking & Financial Services
Get the gap report
for this sector.
The Screen stage measures you against what this sector actually specifies, not against a generic benchmark.