Using Data Analytics to Manage Operational Risk

Programme Code: CRS-N-0045007 (Funding Validity Period: 18 Dec 2017 - 30 Sep 2020)

Overview

A Practical Framework to Define Data Analytics Infrastructure

The banking and financial services industry has come under intense regulatory scrutiny following high profile financial crimes relating to money laundering, terrorist financing, tax evasion, etc. Record fines, erosion to reputation and trust are prompting management to search for more effective measures to manage operational risks.Emerging issues such as expansion to frontier markets and cyber risk also pose new challenges in managing operational risk. More so, when there are significant information gaps and/or inappropriate selection of analytics methodologies and tools.

This workshop seeks to provide a practical framework to define data analytics infrastructure – people, process, systems, tools, data and culture. Case studies are used to illustrate how alternative data and information can be combined to effectively manage and alleviate operational risks. 

Next Course Starts On18 Apr 2018 (Wed) See Full Schedule
Fee SGD856.00* (as low as SGD96.80* after maximum funding) Learn more
Duration

1 day

Level
Intermediate
Venue

Singapore Management University

Learning Objectives
  • Understand data analytics framework, methodologies and tools
  • Apply data analytics in KYC, AML and fraudulent activities
  • Use graphic analytics to track complex structures and transactions
  • Adopt a practical approach to implementation
  • Gain insights from case studies

Topics/Structure

Overview of Data Analytics Framework

  • Types of data analytics
  • Data mining methodologies
  • ‘Smarter” data analytics to aid decision-making

Using Data Analytics in Oprisk Management

  • Getting started
  • Dealing with information gaps
  • Optimizing process & enhance effectiveness
Case Studies
  • Know-Your-Clients/Partners due diligence
  • Money laundering & terrorist financing
  • Irregularities in complex cross holdings
  • Cognitive technology in banking industry

A Practical Approach to Implementation

  • Infrastructure fundamentals
  • Scanning the environment/context
  • Design of risk monitoring metrics
  • Incidence management and loss reporting
  • Risk assessment, response & reporting
  • Case studies

Conclusions

  • Rationale for data analytics
  • Barriers & challenges
  • Implications of technology development
  • Impact on end-consumer & economy

Who Should Attend

  • Managers, business function heads responsible for operational risk management
  • Professionals in compliance, audit, IT and risk management

Assessment

Upon meeting the attendance requirement and passing the assessment, participants will receive a Certificate of Completion.

Fees and Funding

 International ParticipantsSingapore Citizens1Singapore PRsEnhanced Training Support for SMEs4
21 to 39 years old40 years or older2Eligible for WTS3≥21 years old
Full Programme FeeS$800S$800S$800S$800S$800S$800
Less: SSG Grant Amount-(S$560)(S$560)(S$560)(S$560)(S$560)
Nett Programme FeeS$800S$240S$240S$240S$240S$240
7% GST on Nett Programme FeeS$56S$16.80S$16.80S$16.80S$16.80S$16.80
Total Nett Programme Fee Payable, Including GSTS$856S$256.80S$256.80S$256.80S$256.80S$256.80
Less Additional Funding if Eligible Under Various Schemes--(S$160)(S$200)-(S$160)
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemesS$856S$256.80S$96.80S$56.80S$256.80S$96.80

1 All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. Visit the SkillsFuture Credit website (www.skillsfuture.sg/credit) to select the programme.

2 Mid-Career Enhanced Subsidy - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee

3 Workfare Training Support (WTS) - Singaporeans aged 35 and above (13 years and above for persons With disabilities) and earn not more than S$2,000 per month, may enjoy subsidies up to 95% of the programme fee.

4 Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. For more information, visit www.ssg.gov.sg/programmes-and-initiatives/training/enhanced-training-support-for-smes.html.

5 Eligible organisations (excluding government entities) may apply for the absentee payroll funding via SkillsConnect at www.skillsconnect.gov.sg for Singaporean/permanent resident participants attending the programme during working hours. The absentee payroll funding is computed at 80% of hourly basic salary capped at $4.50 per hour or $7.50 per hour for SME or 95% of hourly basic salary for WTS. For more information, visit https://www.skillsconnect.gov.sg/sop/portal/e-Services/For%20Employers/AbsenteePayroll.jsp

 

Union Training Assistance Programme (UTAP)

All NTUC members enjoy 50% *unfunded course fee support for up to $250 each year when signing up for courses supported under UTAP. For details on eligibility, terms and conditions, please click here

Schedule

Start Date(s)
Intake Information

18 April 2018 (Wed)

Program is held from  9am - 5pm

Speaker/Trainer Bio

Dr Khoo Guan Seng has over 28 years’ of experience in the design and implementation of enterprise wide risk management models, systems and processes. He gained deep practical insights from a career spanning across financial institutions in the US, Canada, UK and Singapore, including Man Group, American Bourses Corporation, ATOS Origin, RHB Capital, Singapore Exchange, Standard Chartered Bank, Temasek Holdings and Alberta Investment Management Corporation.

Dr Koh holds a PhD in Physics (Material Science) from the National University of Singapore. Prior to joining the private sector in 2000, Dr Khoo held academic positions with the Nanyang Technological University (NTU) where he co-developed the first post-graduate financial engineering programme and taught risk management for the NTU MBA programme. He speaks regularly at international banking conferences and published articles relating to enterprise risk management and sovereign investing. 

Policies

Share this course