Work withlargedatasets touncoverpatterns impactingcredit andfraudrisk.
Support thedesignandevaluationof credit riskmodels andscorecards.
Assist inbuildingframeworks for risk segmentationandcustomerprofiling.
Experimentation & Process Improvement
Partner withproduct andbusiness teams todesignexperiments andpolicies that balancegrowth withrisk.
Support A/B testingof risk rules andstrategies;measure impact onperformance.
Providedata-backedrecommendations to strengthencontrols while enablingscale.
Stakeholder Collaboration
Collaborate closely withcross-functional teams (Risk, Product, Operations, and Analytics) to alignonstrategies.
Present findings ina clear andstructuredmanner to supportdecision-making.
Reporting & Governance
Ownthe reportingof key risk KPIs and MIS tomanagement.
Ensuredata accuracy, consistency, andintegrity across reports.
Support compliance andregulatory reportingrequirements asneeded.
Qualifications
Bachelor'sdegree froma Tier-1institution(IITpreferred).
1-2 years of work experience inanalytics,data science, or a relateddomain.
Exposure to Fintech/ Credit space is a strongadvantage.
Familiarity withExcel, SQL, and Python(hands-onexperiencepreferred).
Stronganalytical,problem-solving, andcommunicationskills.
* Ability to workdirectly withbusiness andrisk teams ina fast-paced, evolving environment.
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