Data Practitioner Foundation Course

One day workshop with eLearning

New regulations are forcing financial firms to change the way they manage their data. Concurrently cyclical business pressures for product innovation, client retention, cost reduction, managing risk and BAU will force additional changes to the way firms manage their data as an asset.

Data lies at the heart. So a holistic programme that helps you make sense of broader business data needs is vital. Failure to understand data interdependencies will cause unnecessary major rework, program slippage and extensive cost.

Our Regulatory Data Management Workshop will:

  • Explain key Trading, Risk, Financial Crime and Structural reform objectives. 
  • List major regulations by category, region and timeline. 
  • Provide an enterprise wide Regulatory Data Model as an analytical framework enabling you to digest regulation in a meaningful way. 
  • Describe how to use the framework to analyse impact on systems/data and write a roadmap for G20 and beyond. 
  • Provide insights into the G20 implementation process enabling you to build realistic timelines avoiding unnecessary spend on external reports and internal reviews.
  • Provide templates for ‘Fit and Proper’ data architecture necessary for G20 compliance and beyond.

Business benefits will include:

  • Consistent message, language and methodology delivered across divisional groups
  • Alignment of key business and data management roadmaps
  • Ensuring expectations are met in the right way
  • Help to prevent expensive re-works through adherence to best practice
  • Articulate cogent plans to your management
  • Leverage a community of expert practitioners to share best practices and insights
  • Obtain greater levels of productivity and loyalty from existing employees

Course Structure

  • Consistent message, language and methodology delivered across divisional groups
  • Alignment of key business and data management roadmaps
  • Ensuring expectations are met in the right way
  • Help to prevent expensive re-works through adherence to best practice
  • Articulate cogent plans to your management
  • Leverage a community of expert practitioners to share best practices and insights
  • Obtain greater levels of productivity and loyalty from existing employees

Costs & Locations

The course runs regularly in the UK and USA

Call for details of pricing and course schedule

Course Contents
GOTO COURSE (This is a hyperlink to the actual course)

REGULATION
Key examples of regulatory reform:
  • Trading: OTC (EMIR/DFA/Equivalents); MiFID II/ MAR; MAD; AIFMD
  • Risk: Basell III/ CRD IV; Fund reporting; Solvency II, BCBC239, FRTB
  • Financial Crime: FATCA, AMLD IV, Bribery Act, Sanctions regimes
  • Structural: Volker, Vickers, Data Protection, Benchmarks, CRAs, Accounting standards
G20 regulator examples
  • North America: SEC, CFTC, FED, OFR, CSA
  • EU Member states: E.g., PRA, FCA, BoE; BaFin, Bundesbank; AMF, BdF; AFM, DnB
  • Europe: ESMA, EBA, EIOPA, ECB
  • Asia: ASIC, MAS, HKMA, JFSA
  • International: BCBS, IOSCO, FSB, CPSS
GOVERNANCE
  • Core considerations for data governance
  • Governance process and deliverables
  • Oversight and control
  • Data quality assurance & control
  • Stakeholder involvement
  • Financing and control
  • Policies and guidelines
  • Conflict resolution
ANALYSIS FRAMEWORK
Data architecture and model framework
  • End to end target data architecture (Data sources, logical data model, transforms, lineage and transparency)
  • Logical data model (Inc. party, asset, product,
  • agreement, transaction, distribution etc.)
  • Physical implementation considerations for
  • centralised and silo based organisations
  • Policies, guidelines and quality measures
  • Business area/function framework
  • Retail and Commercial Banking
  • Capital markets, Asset management and Insurance
  • Financial Market Infrastructure (Exchanges, CCPs, Trade repositories)
  • Regulatory analysis framework
  • Regulation and component details
  • Principles, intent, key facts, Implementation timeline
  • Impact on data
ANALYSIS PROCESS & ROAD MAP CREATION
  • Establish business data needs
  • Regulatory Data: Identify business area/functional impact
  • BAU & CTB programs: Identify data impact
  • Assess current systems and data
  • Create and maintain inventory of data & interfaces
  • Classify inventory against Analysis Framework
  • Consolidate data availability
  • Create gap analysis by data area
  • Assess organisational capability
  • Envision the target architecture
  • Build on strengths and address weaknesses
  • Alternative architectural approaches for data
Create the road map
  • Identify key business & data work programmes
  • Design and finance work programmes
  • Achieve stakeholder sign-off and commitment
Control implementation
  • Key metrics, measures and governance
  • Hitting the right dates
  • Maintain a pro-active relationship with regulators and provide firm evidence of compliant delivery
  • Maintain stakeholder involvement


Last modified: Thursday, 9 July 2015, 11:34 PM