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FamPay logo — FamPay Risk Analyst in Pune, Maharashtra
FamPay VerifiedActively Hiring

Risk Analyst

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Location

Pune, Maharashtra

Work Mode

Hybrid

Duration

0 months

Stipend

₹82,000/mo

Start Date

Immediate / as per notice period

Openings

1 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹82,000/moApply on Company Website ↗

About the Internship

FamPay is looking for a Risk Analyst to join its Pune team. You will turn raw operational data into clear, trustworthy analysis, and work directly with the people who use it to run the business. About the role In this Risk Analyst position you will be trusted with real business questions. Day to…

About FamPay

FamPay is hiring a Risk Analyst in Pune — a full-time analytics role working in SQL, Excel and statistical analysis, with an indicative CTC of 6.2 LPA–13.4 LPA and 1 opening.
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Pune, MaharashtraVerified employer1 opening
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Skills Required

SQLAdvanced ExcelStatisticsRisk ModellingPortfolio AnalyticsPython / RPower BIRegulatory ReportingScorecard AnalysisData ValidationAnalytical ThinkingCommunication

Who Can Apply

  • B.E./B.Tech/B.Sc (Stats/Maths)/B.Com/MBA/M.Sc or an equivalent degree graduates with 1–4 years of relevant experience, based in Pune or willing to relocate. You should be comfortable with SQL, Advanced Excel, Statistics, able to work independently on a defined analytical question, and able to communicate the answer in plain language. Candidates from adjacent functions (MIS, operations reporting, finance analytics) with the right toolset are encouraged to apply.

Perks

Flexible / hybrid working optionsModern analytics tooling and licensed BI seatsClear appraisal cycle and internal mobilityEmployee wellness programmesTeam offsites and networking opportunitiesCompetitive salary as per market benchmarksAnnual performance bonus / variable payHealth insurance for you and your dependants

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Technical interview 1 — SQL joins, aggregations, window functions and data modelling
  3. 3Case study / take-home assignment on a real dataset, with a walkthrough of your approach
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out
82,000/month

Stipend · 0 months

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Openings1 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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