Data Science & Insights Trainings

Credit Risk Analytics (Classroom)

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Over the course of last two decades, Credit Risk Analytics has become an integral part of overall strategy of banking organizations across the world due to increasing complexity of financial markets and enhanced computing abilities enabling easier and faster analysis of large volumes of data. Each bank have a considerably sized Risk vertical with focus on Risk Management and Analytics where Risk Management and Risk Analytics professionals work hand-in- hand to manage and mitigate Risks faced by the banking organizations. The Risk Analytics professionals focus on the quantitative assessment, analysis and mitigation methods of banking risk.

In India, more than three fourth of professionals employed on Risk Analytics profiles in Banking space are concentrated on Retail Banking Credit Risk Analytics. Analytics as an industry has grown multi-fold in the last decade and demand for skilled Risk Analytics professionals has increased considerably with Analytics viewed as a means of competitive strategy and with stricter global regulations coming in force demanding banks to move from an Accounting & Human judgement based Risk Management to Quantitative Analytics based Portfolio Risk Management.

The training is designed to build retail credit risk experience using some of the key scenarios of credit risk analytics.


Training Logistics and Information

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  • Courses are starting from Feb-2016
  • Classroom: BTM Bangalore
  • Training Hours: 32 Hours
  • Weekend Batch of max capacity 8 folks (Hurry up contact us and enroll for the training)


Training Contents

The training curriculum covers the theoretical aspects of Risk Analytics as well as the practical nuances in day-to-day Risk Analytics methods and techniques based on multiple years of experiences across several banking organizations. The course contents have been calibrated to make it suitable for professionals with little or no knowledge of Credit Risk Analytics.

Training Contents
  • • Banks and Types Risks
  • • Basel II and Regulatory Overview
  • • PD, LGD and EAD Overview
  • Customer Life Cycle: Acquisition, Portfolio Management and Collection
    • Application Scorecard
    • Behaviour Scorecard
    • Collection and Strategy
  • • Workshop: Credit Scorecard Development
    • Case Study: Mortgage Default
    • Business Context
    • Target Variable Definition
    • Exclusions
    • Independent Variables Creation
    • Weight of Evidence & Information Value
    • Reject Inferences
    • Model development
    • Scorecard Development & Scaling
    • Quiz
  • • Case Study: Credit Line Assignment
  • • Project work for candidates


Who Should Attend?

  • • The training intends to provide a jump start to analytics professionals looking for a move into Credit Risk Analytics as well as helps freshers who are  seeking job in the Credit Risk Analytics domain.
  • • Candidates who have BI & Reporting experience and are looking to get into Credit Risk Analytics for Banks or Financial Services.
  • • Individuals who have decent level of Statistical/Analytics experience and leverage for building credit risk analytics skills.
  • • Course will be conducted using SAS Or R/R Studio, so candidates are expected to have programming knowledge (Training for building Learn SAS programming skills and R programming skills).
  • • Candidates who have risk functional knowledge and wants to build credit risk analytics experience.
  • • It is assumed that the candidates have decent level of analytics experience, though risk analytics course will be started from basics and in a systematic way.


Why DnI Institute?

  • • Personalized Analytics training with max batch size of 8 candidates
  • • Learn Analytics from Industry stalwarts with deep Analytics & domain experience
  • • Trainers have extensive corporate and teaching experience – worked with companies like Genpact, Infosys, Accenture, HSBC and conducted analytics courses at MICA, GIM, Great lakes, IITs and IIMs
  • • Course will be a blend of Industry use cases and practical scenarios/case studies/examples
  • • Guest lecture(s) from Industry experts
  • • Selected candidates considered for Internship @ DnI Institute

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