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Monthly Archives: November 2019

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Non-Performing Loans Management & Debt-Recovery Strategies Workshop in Hanoi, Vietnam

Program Overview

A number of countries face the problem related to Non-performing Loans and their levels. Non-performing loans can be a heavy burden for banks, reducing their ability to extend credit to the real economy. Any bank faces non-performing loan risk due to its main function as a financial intermediary. Various efforts have been made by banks to avoid the NPL. However, due to various reasons in business environment or debtor’s management ability, any bank continues to experience them. In result, NPLs affect the total economic growth, banks themselves, borrowers and taxpayers too.

This program will discuss the framework conditions needed for successful NPL resolution and the various on- and off-balance sheet approaches that are available to manage this problem.

Target Audience

  • Professionals from Central Banks, Ministries of Finance and other Institutions who are involved in NPL Management.
  • Bank Credit Officers and Investment Bankers
  • Bond Credit Analysts and Fund Managers
  • Treasurers and Compliance Officers.

Program Objectives

Upon the successful completion of this intensive training course, the participants will be able to demonstrate the solid understanding of:

  • Alternative approaches to NPLs management and recovery structures
  • Different NPLs recovery strategies and techniques
  • Accounting treatment of non-performing loans and loan loss provisioning.

Program Contents

  • Defining Non-Performing Loans (NPL)
  • Types of Non-Performing Loans
  • Indicators of Non-Performing Loans
  • Scale and Scope of NPL’s impact on the Economy
  • Creating and Implementing the NPL Strategy
  • Governance of Non-Performing Loans
  • Banking Treatment of NPLs and non-performing investment projects
  • Borrower Credit Rating and Provisioning
  • NPL Operating Model and Control Framework
  • Early Warning Signs for NPLs
  • Legal Aspects of Non-performing loans
  • Forbearance, its options, variability and process
  • Affordability Assessments
  • Debt Recovery Strategies and Options
  • Links between NPL and Forbearance
  • NPL Impairment and Probabilities of Default Consideration
  • Measuring NPL Impairment
  • NPL Write-Offs, Provisioning and procedures.

Program Methodology

The program will be led through a mixture of structured lectures, delegate discussions and practical case studies. Attendees will improve their skills by direct learning, through group assignments and by sharing their own experiences as well as those of the expert trainer. The consultant will encourage active debate at all times to ensure that delegates are able to gain the maximum benefit from the course. The case studies will be tailored to match the mix of ability and experience of the delegates attending the course ensuring all of the examples have direct and actual relevance to the group’s individual working environments.

Registration Information

Program Dates: 20 – 24 January 2020

Registration Closes on: 30 November 2019

Venue: Skylark Hotel

Program Fee: $3750

Fee Covers:

Register Online  

Online Payment via PayPal

Get in touch for assistance & questions

Email: trainings@risalatconsultants.com or risalatconsultants@gmail.com
Skype: risalatconsultantsint
Call/Viber/WhatsApp: +995 555 11 66 22 or +995 555 71 33 11

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Program on Big Data Analytics, Artificial Intelligence and Machine Learning For Financial Institutions in Tokyo, Japan

Program Overview

Financial Institutions have always been considered to be operating in heavy data industry. Thus, the majority of contemporary banks, insurance companies and other institutions are attempting to embrace advanced analytics and adopt more data-driven approach for decision making as the analytics is a game-changer in transforming business processes and conducts to identify potential opportunities and threats. Data drives the modern financial industry through various ways, starting from boosting cybersecurity all the way through the personalized offerings and increased customer satisfaction.

This short-term training program introduces its attendees with Big Data Analytics, providing the comprehensive coverage of feasible data strategies resulting in valuable and successful business outcomes within the financial industry.

Target Audience

The program is the best suit for:

  • Banking Professionals
  • Financial Analysts and Managers
  • Financial Decision Makers
  • Business development Executives
  • Data Officers and Analysts
  • IT Personnel
  • Management Consultants.

Program Objectives

Upon the successful completion of this intensive training course, the participants will:

  • Relate Key Business Processes to Financial Statements
  • Comprehend the Impact of Technology on Financial Auditing
  • Identify the dynamics of big data, analytics and data science in various financial applications
  • Help shape organization’s big data strategy
  • Determine the key success factors for effective big data strategy within the organization.

Program Contents

  • Core Concepts of Big Data and Machine Learning
  • Impact of Big Data and Financial Analytics on Financial Services Sector
  • Solving Finance Tasks through Big Data/Machine Learning
  • Effective Big Data Strategy
  • The Need for the Big Data Strategy: Opportunities and Considerations
  • Key Aspects of Big Data Strategy: Data, Identification, Learning techniques, Modelling, Tools, Capability & Adaptation
  • Big Data Projects Framework
  • Acquiring Data from right sources
  • Implementing Data Governance Standards
  • Optimizing Business Outcomes through Big Data/Machine Learning
  • Storing, Transforming and Modelling the Data
  • Building human resource capabilities for Data Analytics; choosing the right talent pool
  • Choosing the correct business metrics to indicate success/failure of a big data project
  • Introduction to common organizational hurdles
  • Keys to effective use of Big Data
  • Big Data Applications in Finance: Churn Prediction and Prevention, Loan Default Prediction, Quantitative trading, Sentiment Analysis, Market Segmentation, Anomaly Detection, Risk Management and Control
  • Financial Services of Future
  • The competitive advantage of Big Data
  • Data Accuracy and reliability
  • Machine learning usages
  • Interpreting Machine Learning Predictions
  • Machine Learning Transparency and Documentation
  • Cybersecurity Risks.

Program Methodology

This program is a short term extensive training course with highly practical focus. The presenter will apply modern adult learning techniques in order to maximize the effectiveness of the session delivery and achieve successful results. The methods deployed will include open presentation, group discussions and individual assignments and case studies. At the end of each session the trainer will request for feedback and consider comments received for the coming days in order to improve results and ensure the maximum understanding of material covered for delegates.

Registration Information

Program Dates: 16 – 20 March 2020

Registration Closes on: 31 Januray 2020

Venue: Hotel Niwa Tokyo

Program Fee: $4350

Fee Covers:

Register Online  

Online Payment via PayPal

Get in touch for assistance & questions

Email: trainings@risalatconsultants.com or risalatconsultants@gmail.com
Skype: risalatconsultantsint
Call/Viber/WhatsApp: +995 555 11 66 22 or +995 555 71 33 11

Socialize with Risalat

LinkedIn | TwitterFacebook | YouTube

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