Manager of Emerging Fraud Technologies

  • location: Kansas City, MO
  • type: Permanent
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job description

Manager of Emerging Fraud Technologies

job summary:
Randstad Technologies is seeking a Manager of Emerging Fraud Technologies for a client opportunity in Kansas City, MO. This person will be responsible managing a newly formed Fraud Technologies team with the latest technology.

location: Kansas City, Missouri
job type: Permanent
work hours: 8 to 5
education: No Degree Required
Job Duties/Responsibilities:

  • Manages and maintains emotions & responds to difficult & challenging situations without emotional reactions.
  • Focus on associate management & development and use previous experience with competency-based management program.
  • Provide coaching - listening & providing timely feedback to associates.
  • Interview candidates & make hiring decisions.
  • Provides input, understanding & can execute towards a technology strategy.
  • Set challenging yet attainable goals for associates, and performance management; requesting, managing & monitoring work efforts, ability to understand quality versus quantity.
  • Understands current processes, promotes adherence, and provides recommendations for process improvements.
  • Recognizes ambiguity and follows-up to clarify expectations.
  • Ensures compliance with all software licensing agreements.
  • Participates in the budget process and maintains a budgetary awareness.
  • Understands lights-on, non-discretionary & discretionary work; actively manages load & resource planning.
  • Manage projects & work efforts to a Service Delivery LifeCycle process (SDLC).
  • Understands risk & impact to the business, recommend risk mitigation strategies and options for the business to consider.

  • Eight years technical work experience
  • Five years Fraud Management and prevention across payment, online, digital or financial services industries
  • Proven analytical ability with experience using a data-driven approach to problem solving, experience in metrics focused management
  • Ability to think strategically and apply both quantitative methods and business insights to drive results
  • Ability to build strong relationships in a cross-functional environment
  • Demonstrated knowledge of scalable fraud systems
  • Demonstrated knowledge of data modeling
  • Demonstrated knowledge of large scale data platforms
  • Comprehensive understanding of fraud solution design principles
  • Experience with data models and big data technology
  • Knowledge of Behavior Analytics
skills: Experience working with the latest Fraud Technologies in a financial or banking environment

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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