Live opening · Posted 22 hours ago

@@ Data Scientist - Credit Risk Modelling @@ || Mumbai ||

AppZime Technologies · Mumbai, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 22 hours ago
CompanyAppZime Technologies
LocationMumbai, Maharashtra, India (On-site)
Work modeNo
SourceLinkedin
Listed22 hours ago

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About the role

Description supplied by the original job listing.

WE’RE HIRING | DATA SCIENTIST – CREDIT RISK MODELLING 🚨
Are you a Data Scientist / Credit Risk professional with strong experience in Credit Risk Modelling, Predictive Analytics & Scorecard Development? 📊
We’re looking for an experienced professional to join our team in Mumbai – Work From Office.
🔍 Role Details
💼 Role: Data Scientist – Credit Risk Modelling
🧑‍💻 Experience: 7+ Years
📍 Location: Mumbai | WFO
⏳ Notice Period: Immediate to 30 Days
🎯 What You’ll Work On
• Develop and implement Credit Risk Models for retail & corporate lending
• Build and validate Predictive & Statistical Models
• Develop Application, Behavioral & Collection Scorecards
• Identify key risk drivers through statistical analysis
• Analyze large datasets and generate actionable insights
• Monitor, validate & recalibrate risk models
• Support Model Governance, Validation & Audit activities
• Work closely with Business, Risk & Technology teams
• Prepare model documentation and regulatory reports🛠️ Must-Have Skills
✅ Credit Risk Modelling
✅ Predictive Modelling
✅ Statistical Modelling
✅ Scorecard Development
✅ Data Analysis & Data Mining
✅ SQL
✅ Python / R
✅ Machine Learning Algorithms
✅ Advanced Excel
✅ Banking / Financial Services experience⭐ Good to Have
• Basel / IFRS 9 knowledge
• PD, LGD & EAD modelling
• SAS / Python / R
• Model Validation & Governance
• Risk Analytics & Regulatory Reporting
• Power BI / Tableau
🎓 Education: Bachelor’s/Master’s in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related quantitative field.📩 Interested? (sonali.kumari@appzime.com)

Work arrangement
No

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