Manager Fraud Risk - Tier 1 Bank - Northampton

Job Title: Manager Fraud Risk - Tier 1 Bank - Northampton
Contract Type: Permanent
Location: London, England
Industry: financial services
Salary: £37000 - £46000 per annum
REF: BBBH17782_1519654140
Contact Name: Charlotte Emms
Job Published: 25 days ago

Job Description

Twenty Financial Services are currently recruiting for a Fraud Risk Analytics Manager for a Top Tier Bank in Northampton.

Joining the Risk Fraud Analytics team, where data driven analytics is provided for the management of fraud decisions, the person hired will help maximise the performance of the Fraud risk systems and related data and processes. This will contribute to the detection of fraud and the reduction of losses causes by fraud.


  • Ensuring efficient rule performance management is carried out for fraud detection tools; make certain that ideal False Positive rates and KPIs are set and achieved (alert volume SLAs, Victims of fraud, Fraud Losses)
  • Design, creation and deployment of effective monitoring and analysis to prevent and detect fraud; identifying, monitoring, escalating and responding to emerging fraud trends in attack and customer profile
  • Analysis and decision making in order to counteract fast paced Fraud attack
  • Provision of fraud systems and data
  • Development and analysis of new fraud systems and tools
  • Contributing to the delivery of predictive analytics and predictive modelling for the development of new Fraud management solutions
  • Provision of analytics for vendor managed services e.g. Fair Isaac and Experian; performance analysis of these
  • Assisting and challenging stakeholders to help them express their fraud strategy requirements and queries
  • Managing relationships with crucial stakeholders to make certain that fraud risks are identified and mitigated across the system control framework
  • Acting as a fraud SME within the analytics area

Essential Key Skills

  • Good SAS and SQL skills for data analysis
  • Extensive experience with complex data and system issues and solutions
  • Experience managing rule based fraud risk controls (Falcon, Instinct, Hunter, TS2 etc.)
  • Experience in absorbing large quantities of data at a fast pace, and responding with correct decisions at speed with limited data available
  • Advanced statistical understanding including commercial knowledge of statistical modelling and neural networks
  • Good data analysis skills and knowledge of theory and multivariate statistical techniques such as Logistic Regression
  • Understanding of card and non-card fraud issues; knowledge of each fraud type and relevant attributes as well as the key drivers of fraud losses
  • Ability to challenge stakeholders