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Credit Risk Analytics for Banks, NBFCs & FinTech

13 Months

13 Months

13 Months

13 Months

Credit Risk Analytics for Banks, NBFCs & FinTech

Become a Credit Risk Analytics Expert for Banks, NBFCs & FinTech

Learn from Global Credit Risk Leadership Experience

Build Industry Credit Risk Models

Designed for Banking, NBFC & FinTech Careers

Learn Credit Risk Analytics directly from a former Chief Data Officer with nearly two decades of experience across global banks, credit bureaus and FinTech companies. Build the skills required for high-demand Risk Analytics careers.
 
Ratul Paul, Founder Scientist Express, Former Chief Data Officer, Industry Mentor in Data Science, ML, AI and Credit Risk

5 Months Program

Banking & Risk

Duration

Analytics

60 Hours

Real Industry Projects

Career Support

Live Classes

Credit Risk • Banking • FinTech

Job Assistance

⭐ Learn Directly from a Former Chief Data Officer

⭐ 700+ Career Transformations Across India & Abroad

⭐ 19+ Years of Global Industry Leadership

⭐ Placement Assistance + Post-Placement Job Support

Your Journey to a Career in Credit Risk Starts Here

Build the skills, real-world project experience and industry confidence needed to succeed in high-demand Credit Risk roles across Banks, NBFCs, FinTechs and Credit Bureaus.

Build Industry-Ready Credit Risk Models

Develop Credit Scorecards and Risk Models used by Banks, NBFCs & FinTechs.

Master Lending & Risk Analytics

Work on Underwriting, Fraud Detection and Portfolio Risk Analytics

Launch Your Risk Analytics Career

Become job-ready for Banks, NBFCs, FinTechs & Credit Bureaus.

What Makes This Credit Risk Program Unique?

   Learn from 19+ Years of BFSI Leadership

Learn directly from a former Chief Data Officer with experience across Banks, NBFCs, FinTechs and global Credit Bureaus.

     Real Credit Bureau Projects

Build industry-grade Credit Risk, Lending and Fraud Analytics solutions inspired by real enterprise use cases.

      Credit Risk Scorecards

Design Application, Behaviour and Collection Scorecards used to evaluate creditworthiness and manage portfolio risk.

      Underwriting Analytics

Learn customer underwriting, risk assessment and lending decision strategies used by leading financial institutions.

Who Should Join?

This Program is Ideal for

Banking Professionals

Data Analysts

Finance Professionals

Credit Analysts

Working Professionals

      No Prior Credit Risk Experience Required

Whether you're from Banking, Finance, IT, Analytics or any quantitative background, this program provides the practical skills, real-world Credit Risk projects and industry mentorship needed to build a successful career in Banks, NBFCs, FinTechs and Credit Bureaus.

Curriculum Overview

Designed in consultation with real industry hiring requirements.

        Module 1: Credit Risk & Data Science Foundations

        Module 2: Application Scorecards

        Module 3: Behaviour Scorecards

        Module 4: Collections & Recovery Analytics

        Module 5: Advanced Credit Risk Analytics

        Module 6: Fraud Analytics & Model Monitoring

        Module 7: Real Industry Credit Risk Projects

Industry Projects You will Build

     Credit Risk Application Scorecard

  • Probability of Default

  • Ready Reckoner

  • Explainability using Shapely

  • Reject Inferencing

  • Alternate Data

     Credit Risk Collection Scorecard 

  • Early warning model

  • Recovery prediction model

  • High-Medium-Low recovery prediction model for Written off pool

     Credit Risk Behaviour Scorecard 

  • Probability of Default later in the tenure

  • Cross sell, Upsell and Renewal strategy

  • PD/LGD/EAD/ECL calculation

     Credit Risk ECL Calculation

  • PD/LGD/EAD/ECL calculation

  • Understanding how to use macroeconomic features.

...and many more!

Student testimonial and career transition success story at Scientist Express

Mansi Jain

Previous Role: Sales Manager

Current Role:  AVP Data Science

Salary Growth: 3.5X

700+ Career Transformations And Counting

Designed in consultation with real industry hiring requirements.

Scientist Express student review and career transition success story

Sachin Sapkale

Previous Role: Mechanical Engineer

Current Role: Lead ML Expert

Salary Growth: 4X

Data Science career transition student testimonial – Scientist Express

Devang Bhatt

Previous Role: Senior Operations Manager

Current Role: VP, Banking Analytics

Salary Growth: 6X

Ready to Transform Your Career?

Get a personalized roadmap from our team and learn how you can transition into

Data Science, Machine Learning & AI.

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