Fraud Risk Awareness For Financial Industry - excellence.asia

Fraud Risk Awareness For Financial Industry

Fraud Risk Awareness For Financial Industry And The Use Of Data To Detect Fraud

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Course Fee (IDR)

IDR 18.000.000

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  • Course Type

    Inhouse

  • Course Duration

    16

  • Course Location

    Kota Administrasi Jakarta Pusat

  • Course Max Participant

    25

Course Description

Course Summary

The course introduce participants to key concepts of fraud in financial institutions, and a range of detection method. Especially data analysis method for the detection of fraud, abuse, and suspicious behaviour. Participants will be exposed to a range of rule-based, statistical, and visual tools using Microsoft Excel and R, a powerful open source data analysis tool. 

Trainer 2 

Analytics & Data Science expert with strong practical experience in Analytics and Data Science
across industries in some multinational companies. Currently serving Allianz, one of the largest
insurance and asset management company in the world, to build and orchestrate its Data
Science capabilities in Indonesia. He is responsible to lead advanced analytics practices in the
company, providing data-driven analysis and recommendation to formulate strategic decision
for the company. Prior joining Allianz he has worked with XL Axiata (Telco), Citibank (Banking),
and Accenture (Consulting) to drive their businesses through data.
Having linear educational background, Rifan holds Master Degree in Applied Statistics with
Honors (2013), and Bachelor Degree in Statistics (2011).

Maximum Participant

25 Participants

Course Language

Indonesia

Course Core Competencies

Planning and Initiative, Sustaining Functional

At the end of this course, participants will be able to…

Understanding the concept and framework of risk management Anti-Fraud and learning
analytical approach in detecting and discovering fraud.

Who should take this course? Who should not?

Employees working within financial industry. Not recommended for non-financial employees.

What participants will need to know or do before joining this course?

Participants should have basic understanding of financial products and have basic Excel skills.

Course Methods

Lecture and hands-on training

Course Content

    Day 1
  • Lecture 1

    What is Fraud
  • Lecture 2

    Internal & External Fraud
  • Lecture 3

    Red Flags
  • Lecture 4

    Fraud Risk Management
  • Lecture 5

    Cybercrime and Social Engineering
    • Day 2
  • Lecture 1

    Case Study: Fraud in Insurance
  • Lecture 2

    Case Study: Fraud in Credit Card
  • Lecture 3

    Methodology and Hands-on Training
  • Lecture 4

    Identifying Fraud from Data
  • Lecture 5

    Case Study: Fraud in Fintech

Profile Trainer

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Industry Expertise :  Financial Intermediation; Real Estate & Renting, Other Services

Trainer Skills :  Financial Analysis, Financial Planning

Trainer Education

  • 1.
  • Degree
  • Institution
  • Major
  • Year
  • : S2
  • : ST. CLOUD STATE UNIVERSITY  MN, USA
  • : Master of Science in Applied Economics
  • : 2009
  • 2.
  • Degree
  • Institution
  • Major
  • Year
  • : S1
  • :  ST. JOHN’S UNIVERSITY  MN, USA
  • : Bachelor of Art in Mathematics | Computer Science and Economics (magna cum laude)
  • : 2006

Trainer Work Experience

  • 1.
  • Position
  • Office
  • Field
  • From
  • : Corporate Trust Bond Processor
  • : U.S. BANK MN, USA
  • : Financial Intermediation; Real Estate & Renting
  • : 2008
  • 2.
  • Position
  • Office
  • Field
  • From
  • : Modeling CRM Specialist – Decision Management Department
  • : CITIBANK  Kuala Lumpur, Malaysia 2012 Q4
  • : Financial Intermediation; Real Estate & Renting
  • : 2012
  • 3.
  • Position
  • Office
  • Field
  • From
  • : Credit Analyst – Credit Risk Control
  • : MIZUHO Corporate Bank  Jakarta, Indonesia  2014 – March 2017
  • : Financial Intermediation; Real Estate & Renting
  • : 2017

Professional Qualification/Certification

  • 1.
  • Certificate
  • Institution
  • Field
  • : Financial Risk Manager (FRM)
  • : GARP 2015
  • : Financial Analysis
  • 2.
  • Certificate
  • Institution
  • Field
  • : Chartered Financial Analyst® (CFA)
  • : Charterholder 2014
  • : Financial Analysis

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