Fraud Analytics & Optimisation Manager

London  ‐ Onsite
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Description

Fraud Analytics & Optimisation Manager- Financial Crime Risk - HSBC

This is a 6 month contract based in London

Project Brief:

The jobholder will be aligned to the Fraud Risk function who are responsible for establishing and operating policies, standards, systems and other controls to prevent and detect fraud against the HSBC Group or its customers

Role purpose:

The jobholder is required to perform in-depth analysis, design, implement and monitor strategies/projects for The Banks Debit Card and Credit Card portfolios using Base SAS. Monitoring fraud trends to mitigate loss while maintaining minimum genuine customer impact, therefore providing a positive customer experience and Best Place to Bank.

Responsibilities

  • Developing & implementing new strategies (intra-day) in response to new fraud attack vectors to reduce fraud losses whilst optimising the customer experience
  • Implementation of system enhancements (fraud models/version upgrades) in parallel to BAU without adversely impacting either fraud losses or customer experience and in support of RBWM/CMB driven projects. This would also include MasterCard/Visa card scheme changes.
  • Active participation in system Contingency Tests & incidents and deployment of changes to fraud detection system environment (including weekends & nights)

Required Qualifications, Knowledge & Experience:

  • Experience of using relevant software packages, ie Base SAS (9.3)/SAS Enterprise Guide or similar analytical software is essential
  • Existing Fraud Risk/Operations experience
  • Fraud systems - falcon, digital applications ect
  • Fraud Analytics
  • Relevant product knowledge including knowledge of Credit & Debit cards
  • Capable of picking up, and applying, new ideas/concepts quickly
  • Advanced PC skills and knowledge of Microsoft software, specifically Microsoft Excel

Please submit your CV in the first instance

Start date
ASAP
Duration
6 months
From
Resource Solutions - HSBC
Published at
15.05.2018
Project ID:
1554654
Contract type
Freelance
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