Agenda

Agenda

Course Agenda

Day 1 - Wednesday 6 March 2019

08:30

Registration and refreshments

09:00

Current Trends in Data Management 

  • Regulatory environment 
  • Compliance with BCBS 239 
  • The FRTB data management challenge 
  • Stress testing exercises such as FDSF, CCAR, ECB and EBA 
  • Challenges for the coming year and beyond 

10:30

Morning break

11:00

Data Governance 

 

  • Data in the business as whole 
  • Creating a data governance regime 
  • Data roles 
  • What does a good data framework look like? 

12:30

Lunch

13:30

Managing Data Quality and IT Infrastructure 

  • Data quality measurements 
  • How to actively manage quality of new data 
  • Addressing gaps in data accuracy 
  • Identifying and assessing systems that need improvement 
  • IT infrastructure and strategy 

15:00

Afternoon break

15:30

Golden Source of Data 

  • Distilling data into a single, consolidated format
  • Data as a valuable asset 
  • Optimising data for regulatory reporting
  • Business intelligence insights 
  • Competitive advantage 

17:00

End of day one

Day 2 - Thursday 7 March 2019

08:30

Refreshments

09:00

Data Analytics  

  • How to make sense of the data 
  • Developing analytic strengths across your organisation: 
    - Consumer behaviour and marketing 
    - Risk, fraud, and AML/KYC
    - Product and portfolio optimisation 
  • Operationalising analytics: challenges and emerging best practices 

10:30

Morning break

11:00

Risk Reporting 

  • Developing a good reporting strategy 
  • Standardising and harmonising regulatory reporting 
  • How to best meet new reporting requirements 
  • Aligning cross-regulatory requirements 
  • Overcoming the major challenges of reporting 

12:30

Lunch

13:30

Data Architecture and Aggregation 

  • Data models 
  • Data flow and ownership 
  • Competitive advantage of risk data aggregation 
  • Principles for effective risk data aggregation 
  • How is data processed across the banking group? 

15:00

Afternoon break

16:00

Data-Driven Decision Management 

  • Decisions backed up by hard data 
  • Benefits of employing the approach 
  • Potential challenges 
  • Case study 

17:00

End of course