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Programmer Analyst
Ref No.: 17-02224
Location: Phoenix, Arizona
Programmer Analyst
Phoenix, AZ
1 Year Contract

Job Description
  • This role involves both Management of data movement projects in support of Anti Money Laundering (AML) Capabilities & SQL programming to generate code for AML surveillance of financial transaction and demographic data.
  • SQL skills
    • Meet business needs by translating business requirements into SQL queries
    • Write complex SQL queries with minimum direction
    • Independently test and debug SQL code
    • Quickly develop a solid understanding of data used for surveillance purposes PM skills
    • Manage multiple projects and tasks and progress them in parallel
    • Clearly outline next steps, track due dates, and follow up with business partners.
    • Data Mining and Statistical analysis on large datasets
    • Pattern recognition and predictive modelling skills
    • Ability to understand various data structures and common methods in data transformations
  • Ability to think both tactically and strategically.
  • Ability to multi-task effortlessly and manage competing priorities under demanding deadlines.
  • Demonstrate excellent verbal and written communication skills.
  • Intermediate to advanced knowledge of SQL
  • Some experience in Project Management
  • Excellent analytical skills and strong quantitative skills.
  • Must be results oriented and a motivated self-starter with a strong sense of urgency.
  • Ability and willingness to work in challenging situations with aggressive timelines.
  • Meticulous attention to detail
  • A working knowledge of Unix
  • Some knowledge of Perl
  • Experience in using any of the statistical analysis and predictive modeling technologies such as SAS, R or Python.
  • Experience with programming languages such as Java or Python.
  • Degree in computer science, decision science, engineering, or related field
  • Previous experience in the financial services industry – credit card experience is a plus
  • Teradata knowledge
  • Experience in Statistical Data Analysis and Predictive Modelling.