DATA SCIENTIST – CREDIT RISK MODELLING | Mumbai |

🚨 WE’RE HIRING | DATA SCIENTIST – CREDIT RISK MODELLING 🚨

📍 Location: Mumbai | Work from Office

⏳ Notice Period: Immediate to 30 Days

Are you an experienced Data Scientist with strong expertise in Credit Risk Modelling, Predictive Analytics & Scorecard Development?

We’re looking for a talented professional to join our team and work on data-driven risk solutions within the Banking / Financial Services domain.

🔍 KEY RESPONSIBILITIES

• Develop and implement Credit Risk Models for retail & corporate lending portfolios
• Build and validate predictive models for credit risk assessment
• Develop & maintain application, behavioral & collection scorecards
• Perform statistical analysis and identify key risk drivers
• Analyze large datasets to generate actionable insights
• Validate, monitor & recalibrate risk models
• Work closely with Risk, Business & Technology teams
• Support model governance, validation & audit activities

💡 MUST-HAVE SKILLS

✅ Credit Risk Modelling

✅ Predictive Modelling

✅ Statistical Modelling

✅ Scorecard Development

✅ Data Analysis & Data Mining

✅ SQL

✅ Python / R

✅ Machine Learning Algorithms

✅ Advanced Excel

⭐ Good to Have

• Basel Regulations & IFRS 9
• PD, LGD & EAD Models
• SAS / Python / R
• Model Validation & Governance
• Risk Analytics & Regulatory Reporting

🎓 EDUCATION

Bachelor’s / Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics or a related quantitative discipline.

📩 INTERESTED?

Share your updated resume along with

1️⃣ Total Experience

2️⃣ Relevant Experience in Credit Risk Modelling

3️⃣ Predictive Modelling Experience

4️⃣ Scorecard Development Experience

5️⃣ Statistical Modelling Experience

6️⃣ Current Company

7️⃣ Current CTC

8️⃣ Expected CTC

9️⃣ Notice Period

🔟 Current Location

1️⃣1️⃣ Willingness to Relocate to Mumbai

📌 If this opportunity matches your profile, feel free to DM me or share your resume - priya.chauhan@appzime.com

🔄 Know someone who could be a great fit? Tag them or share this post!

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