Data Analyst - SAS, SQL

Barclays Investment Bank - Wilmington, DE (30+ days ago)

About Global Fraud Risk Management

The role of the Fraud Risk team is to assess the risks we face and ensure strategies are put in place to mitigate these risks to protect our business, clients and customers without compromising the accessibility of our products and services. We can never fully stop fraud, but we can deter criminal elements by making the bank a more resilient place to fraud attempts, which in turn gives our customers greater confidence to entrust their business with us.

Overall purpose of role

To support the Fraud Transaction Cycle in meeting its objectives

  • Provide fraud strategy input and intelligence for initiatives under Fraud Transaction Cycle
  • Integrate and maximize value from fraud solutions originating from Fraud Transaction Cycle

Key Accountabilities

  • Perform analysis of current and historic data (e.g. applications, write off data) in the support of Fraud TC initiatives
  • Track and monitor capabilities enabled by fraud TC and provide intelligence to support those capabilities
  • Identification of data driven fraud trends and development of solutions to address the trend
  • Provide support, including analysis, to various Strategic Fraud initiatives outlined by the business as and when necessary

Stakeholder Management and Leadership

  • Organizational awareness – Ability to see the ‘whole picture’ and recognize the impact and opportunities of activities across the organization.
  • Team Player - Ability to work with and in cross-functional and virtual teams.
  • Communication - Effectively and concisely communicate key issues and ideas through correspondences and verbally without supervision. Interface with stakeholders effectively.

Decision-making and Problem Solving

  • Analytical ability – Must have a clear understanding and experience in performing data analysis using a standard statistical package such as SAS/SQL
  • Ability to solve advanced problems and deal with a variety of options in complex situations
  • Innovation – Create innovative solutions to satisfy business requirements with analysis where needed

Risk and Control Objective

Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards.

Person Specification

Basic Qualifications/Skills:

  • 2+ years of strategy/analytics experience required, preferably in risk management/modelling function.
  • 2+ years of strong analytical skills, technical skills in SAS/SQL and statistical skills with proven ability to process vast amounts of data into meaningful information.
  • Bachelor’s degree in a quantitative discipline like Statistics, Mathematics, Operations Research etc.

Preferred Qualifications/Skills:

  • Experience in Card fraud detection strongly preferred, but not required.
  • Knowledge on Data Science (Hadoop/Big Data/Machine Learning) is preferred, but not a strict requirement
  • Master’s degree strongly preferred

Job Type: Contract

Job Type: Contract


  • SAS: 2 years
  • Data Analysis: 2 years
  • SQL: 1 year