Financial Data Analyst – Internship (WFH)
Fin Maverick has advertised four Financial Data Analyst internship openings with a monthly stipend of ₹30,000. The internship is work from home, lasts three months and has an application deadline of 14 November 2026. Posted on 15 October, the exact listing remained actively open when verified on 16 October.
The role focuses on the quality of market and fundamental data used by the employer's research and product teams. Rather than treating analysis as charts alone, the description gives substantial attention to collecting data, cleaning it, documenting its limitations and checking outputs before they are reused. It is relevant to applicants interested in combining Python and spreadsheets with financial datasets.
Key details
| Employer | Fin Maverick |
|---|---|
| Role | Financial Data Analyst intern |
| Mode | Work from home |
| Duration | 3 months |
| Stipend advertised | ₹30,000 per month |
| Openings | 4 |
| Start window | 15 October–19 November 2026 |
| Apply by | 14 November 2026 |
What the intern will do
The first responsibility is pulling and structuring market and fundamental data from public sources. The next is building Python cleaning pipelines that account for corporate actions, restatements and missing series. These are practical data-quality problems: an analysis can look convincing while relying on inconsistent or incomplete inputs. The employer expects the intern to work on those inputs before other teams build on them.
Descriptive analysis and charts for internal research are also part of the work. The description asks for documentation explaining where each dataset came from, what its fields mean and what information is missing. Outputs must be sanity-checked before appearing in a research note or a course. It does not name a specific market-data vendor, trading strategy or investment mandate, so those should not be assumed.
- Collect and organise public market and fundamental data.
- Build and maintain data-cleaning workflows in Python.
- Handle missing observations and changes affecting comparability.
- Create descriptive analysis and charts for internal use.
- Maintain clear source, field and limitation documentation.
- Check results before the research or learning teams use them.
Who can apply
The additional requirements name students pursuing BTech, BSc Statistics or Economics, MBA Finance, CFA or NISM certifications. Applicants should read that list alongside the general availability and skill requirements rather than assuming the role is unrestricted. The listing expects relevant skills and interests and a commitment to the full three-month period.
Candidates should know some Python with pandas or be genuinely willing to learn it quickly. Excel fluency is assumed. The skill list also includes statistics and data analysis. Women wanting to start or restart their careers may apply. No minimum percentage, age limit or graduation year is supplied in the checked visible source.
The start window is 15 October to 19 November 2026, while the Apply by date is 14 November. These are different dates for different purposes. The later start-window endpoint does not extend the application deadline. Applicants with examinations, another internship or employment should disclose their real availability instead of assuming remote work removes the time commitment.
Stipend and remote arrangement
The source advertises ₹30,000 per month. It does not disclose an incentive component, a variable-pay calculation or a separate fixed-versus-incentive split. This article therefore preserves the advertised amount without inventing a breakdown. Confirm the exact payment terms and any conditions in the employer's written offer before committing.
The internship is explicitly work from home. Gurgaon appears in the company profile, not as a requirement to attend an office for this role. Daily working hours, equipment support and a precise reporting schedule are not stated. Applicants who need clarity on those practical points should ask the employer. The listed perks are a certificate and a letter of recommendation.
Preparing a relevant application
A useful application can show how you turn a messy dataset into something another person can use. For example, an existing academic or personal project might demonstrate missing-value checks, consistent field names, descriptive summaries and a chart with a clear explanation. These are preparation suggestions based on the advertised work, not additional mandatory projects or a description of the selection test.
Be specific about what you already know in Excel and Python. If you are still learning pandas, say so honestly and explain the work you have completed. Include enough context for a reviewer to understand your contribution, but do not share private client data or confidential files. Reproducible work and documented assumptions are more informative than unsupported claims of advanced expertise.
How to apply
- Open the exact Financial Data Analyst listing linked below.
- Confirm the employer, three-month duration, stipend and current application status.
- Read the education/certification and availability requirements in full.
- Use Apply now and complete the platform's application steps.
- Keep a confirmation and verify final terms directly with the employer.
Fin Maverick describes itself as a learning community focused on disciplined preparation. This is its advertised internship, not recruitment by a government body or by NISM itself. Jobsii does not guarantee selection, permanent employment or an investment-related qualification. Use the source listing for recruitment updates and the employer's offer for final terms.
View Fin Maverick's complete Financial Data Analyst internship and apply.
