Internship programme
Statistics under a Chartered Accountant
Where audit judgement meets statistical method.
Auditors have used sampling for a century; most have never been taught the statistics underneath it. This programme sits in that gap. You work alongside practising Chartered Accountants, applying statistical analysis to audit sampling, anomaly detection and financial reporting — and you learn where a method is genuinely defensible and where it is decoration.
Day to day
What you actually do.
- Design and defend audit sampling plans on real ledger structures
- Run anomaly detection over transaction data
- Build analytical review procedures used in an audit file
- Learn the documentation standard a working paper has to meet
- Review your work with a practising Chartered Accountant
Structure
10 weeks, phase by phase.
- Weeks 1–2
Grounding
- The financial statements, and what each one can conceal
- Audit objectives, assertions and materiality
- Data extraction from accounting systems
- Working paper standards and documentation discipline
- Weeks 3–5
Statistical audit techniques
- Sampling: attribute, variable and monetary unit sampling
- Sample sizing, confidence and the meaning of an exception rate
- Analytical review, ratio and trend procedures
- Benford's Law — what it can and cannot support
- Weeks 6–8
Forensic and reporting analytics
- Anomaly and outlier detection over transaction sets
- Journal entry testing and segregation-of-duties analysis
- Financial reporting analytics and variance explanation
- Presenting statistical evidence to a non-statistical reader
- Weeks 9–10
Case work
- A full analytical review on an anonymised dataset
- A written report to working-paper standard
- Review and challenge session with a CA mentor
- Career guidance across audit, forensics and reporting
What you will use
What you leave with
- Audit-analytics case work you can show a recruiter
- Working familiarity with sampling and forensic techniques
- AICTE-recognised completion certificate
- Reference from a practising Chartered Accountant
Who this is for
Eligibility, stated
plainly.
We would rather turn someone away at the application stage than three weeks into a cohort. If you are unsure whether you qualify, apply and ask — we answer honestly.
- CA Intermediate and Final students, and article assistants
- B.Com, M.Com and statistics students
- Comfort with financial statements
- Around 15 hours a week
Questions
About this programme.
Does this count towards articleship?
No. This is a supplementary analytics programme, not a substitute for ICAI articleship requirements. It is designed to sit alongside your articles or study period and to give you skills most candidates do not have.
Is the data real client data?
No. All case work uses anonymised or synthetic datasets built to mirror real ledger structures. Client confidentiality is absolute and no live engagement data enters the programme.
Other programmes
Full Stack Development
Build and ship a real application, reviewed line by line.
10 weeksFinance & Statistics
Statistics applied to money, with datasets that are not clean.
12 weeksAI & Machine Learning
Train it, evaluate it honestly, then actually deploy it.
12 weeksIoT & Embedded Systems
Real boards, real firmware, real things that stop working.
Applications
Ready for the statistics under a ca track?
Send us a CV.
One paragraph about what you want to build is worth more to us than a cover letter template. We read every application and reply to every one.
Email hackedinsolutions@gmail.com · Reply within one working day