Risk Analytics Optimisation

  • Negotiable
  • Edinburgh, Scotland, United Kingdom
  • Contract, Full time
  • HSBC Bank plc
  • 17 Jan 19

Title: Risk Analytics Optimisation Corporate title: GRA Process Optimisation Specialist Location: Edinburgh Duration: 6 months Type: Contract Day Rate: DOE

Title: Risk Analytics Optimisation

Corporate title: GRA Process Optimisation Specialist

Location: Edinburgh

Duration: 6 months

Type: Contract

Day Rate: DOE

Role Purpose:

This role is a part of the Global Risk Analytics (GRA) Policy and Standards within Group Risk. The jobholder is expected to support the management of wholesale credit issues, whether prompted by external regulatory change, supervisory finding or the desire to improve and harmonise internal procedures, as they relate to the firms' internal models. The jobholder will be expected have experience in Wholesale Credit Risk (WCR) issues and general familiarity with CRR Capital Regulations, be able to summarise consultation papers and extract key issues, including Powerpoint skills and will have experience in writing requirements documents or policy/system documentation.

Accountabilities:

One of the key deliverables will be to improve the efficiency of the firms' CRR attestation, both from a work flow perspective and in terms of tracking non-compliant items. To achieve this deliverable the candidate would benefit significantly from having strong organisational skills and a proven ability to coordinate across multiple global sites. More generally a broad understanding of other risk types across Wholesale Credit, Market and Counterparty Credit risk, including governance, controls and policy is desirable.

Essential Experience:

  • Experience in Wholesale banking including Commercial Banking, Global Banking & Markets or Wholesale Credit
  • Good knowledge of the regulatory landscape particularly relating to Risk governance and/or models; Previous experience in a Regulatory Capital policy function would be valued
  • Relevant working experience in a bank, rating agency, consultancy or advisory firm would be considered
  • Some understanding of statistics and concepts of the risk modelling process would be advantageous